Рубрика: Robotics

Competitions are always fun as they bring out the best in you and help you explore newer and fresher areas. Along the same lines, robotics competitions have always succeeded in bringing people from different groups, cultures, and diversity across the globe together. There are numerous such competitions held every year. Here is the list of top 10 robotics competitions students should participate in 2022.

Zero Robotics tournament

This is one robotics competition the candidates are required to achieve certain goals (such as avoiding obstacles, collecting objects, and so on) while conserving resources like fuel. The competition is open to middle and high school students.

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World Robot Olympiad (WRO)

World Robot Olympiad is a platform that aims at helping students improve their problem-solving skills and creativity at the same time. An important point to note is that WRO is an independent non-profit organization and revenue made out of the competition is invested in its dedicated mission of supporting robotics.

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Micromouse

As the name suggests, this robotics competition is all about a miniature robot mouse solving a maze – a 16×16 maze. Students of all ages can participate in this competition and further improve their robotic skills and project quality for their Micromouse.

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BEST robotics tournament

BEST stands for “Boosting Engineering, Science & Technology. In this competition, compete against each other and every year, a new challenge is chosen based on current events. All middle and high school students can participate in this tournament.

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RoboGames

This is one of the most popular robotic competitions across the globe. With over 50 different events such as walking humanoids, soccer bots, sumo bots, combat robots, fire-fighters, LEGO bots, and many more, this competition is definitely worth participating in.

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The VEX Robotics Competitions

There are numerous events held during this competition. Students are asked to develop and build a robot that will compete against other teams in a game-based engineering challenge. Students from elementary through collegiate levels can participate here.

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ABU Robocon

Yet another interesting robotics competition students should participate is ABU Robocon, an Asian Oceanian College robot competition that was founded in 2002 by Asia-Pacific Broadcasting Union.

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Wonder League Robotics

Children aged 6 to 12 know where to go. Well, undoubtedly, Wonder League Robotics! This is one of those interesting youth robotics competitions in which teams compete in three rounds, over five months, under the supervision of a coach.

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RoboCup

This is an annual international robotics competition, that aims at promoting robotics and AI research among students. Well, who would want to miss out on such a golden learning opportunity?

Robofest

As evident as it can get, Robofest is nothing but a festival of competitions and events with autonomous robots. Participating in this fest is an experience in itself. Do enroll without fail!

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Let’s see how AI and robotics are playing a crucial role in space exploration

Like many other industries, the space exploration process is also adopting Artificial Intelligence (AI) and robotics to fast-track its mission. This leads us to great lengths and never explored places. Emerging technologies like machine learning and deep learning are organizations working in space programs an opportunity to embrace AI and robotics. Robots help the space exploration process through the mechanical design of planetary rovers, the mechanical design of space manipulators, actuators and sensors of space robots, end-effector/tools of space robots, reconfigurable robots, and robot mobility. Here are some exemplary cases of robotics and AI in space tech.

1. Canadian Space Association launched Dextre, a robotic arm designed to install and replace small equipment such as exterior cameras or the 100-kg batteries used on the Space Station, and to test new tools and robotics techniques.

2. Voyager 1 and Voyager 2, were designed to conduct close-up studies of Jupiter and Saturn, Saturn’s rings, and both Jupiter and Saturn’s largest moon. These robots are still communicating information via the Deep Space Network (DSN) and are presently closer to Pluto than to Earth or the sun.

3. Robonaut 2 follows in the steps of Robonaut 1, a ground-based prototype intended to help astronauts on spacewalks. Also known as R2, was the first US-built robot on the ISS. It joined the crew back in 2011 without legs, which were added in 2014.

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The cloud robotics market is relied upon to reach US$9822.8 million by 2024 at a CAGR of 22.86%

Increasing utilization of cloud-based technologies and cloud-based artificial intelligence robotics technology has brought about the creation of cloud robotics, therefore increasing demand in the global cloud robotics market. Cloud robotics is utilized generally in logistics, monitoring, training, and entertainment. To improve the elements of robots, scientists have upgraded their physical features and included remarkable virtual developments of cloud computing. Cloud robotics is an area of robotics that attempts to entreat cloud technologies such as cloud computing, cloud storage, and other internet technologies. It is not an easy task to run a cloud robotics company. But it is amazing to see the rising number of companies specializing in cloud robotics. These companies are seen to work on innovative technologies. Here is the list of 10 cloud robotics companies that are working on the innovation of technologies and products.

Automation – Workflow Automation

This company leverages robots (physically and virtually) for automating specific tasks. It utilizes the power of cloud computing and process automation to create and modify cloud robotic solutions. The company develops software robotics solutions, lean strategies, artificial intelligence (AI), and low-code applications, as well as cloud services. It allows the automation of long workflows and processes that run across multiple systems and organizational extremities.

INVOLI

The company was founded in 2017, in Switzerland. INVOLI serves in building infrastructure that enables the drone revolution, ensuring their safe consolidation into today’s aviation world and avoiding collisions with aircraft. It offers an online platform, which collects data from a network of scaled-down control towers gathering maximum information on the position of every flying object in the sky, manually or automatically. Its technology enables everybody to see the air traffic encompassing them and take the most appropriate measures. Thus, what INVOLI brings to the aviation world is intelligent air traffic instruments and automatic collision avoidance tools, allowing low-risk flight plans and avoidance strategies and thus creating a safer, smarter sky for all.

Salty Cloud, PBC (Public Benefit Company)

It was founded in March 2017, in the USA. The company offers next-generation security automation technology to assist organizations around the globe to protect their cyber adversaries. Today, the company provides three security & risk automation tools to the public. It continues to find ways to provide free versions of its tools for educational institutions, state & local governments, and non-profits. One such offering is Dorkbot, the web vulnerability scanning service.

Bright Machines

It was founded in 2018, in the USA. The company aims at making manufacturing smarter and more efficient. It merges intelligent software with flexible factory robots and machine learning to help the customers deliver the next-generation products

Soar Robotics

The company offers independent operations at scale for urban and industrial applications with seamless connectivity and cloud intelligence. It uses hyper-realistic visual and physical simulation environments to safely test hardware by recreating real-life scenarios in virtual worlds. It helps in executing custom applications for proprietary use cases.

Graphcore

It was founded in 2016. The company is situated in the United Kingdom. The company’s IPU accelerators and popular software together make the fastest and most ductile platform for current and future machine intelligence applications, which lowers the cost of AI in the cloud and datacentre, and improves performance and efficiency by between 10x to 100x. Graphcore systems shine at both training and reasoning. The highly collateral computational resources along with graph software tools and libraries enable researchers to explore machine intelligence across a much wider front than current solutions. This technology lets recent success in deep learning evolves rapidly toward useful, general artificial intelligence.

Arctoris

Arctoris was founded in 2016 and is headquartered in the United Kingdom. Arctoris collaborates with biotech and pharma companies as well as academic centers, enabling drug discovery projects to be run using advanced robotics. The technology platform can not only be used for screening but has been developed for all laboratory processes on the way from target to hit and lead and beyond, comprising a wide range of techniques in cellular and molecular biology as well as biochemistry/ biophysics. Arctoris pursues its own internal drug discovery programs, and also offers select researchers and entrepreneurs access to their platform to run drug discovery projects with the efficiency, accuracy, and precision enabled by end-to-end automation.

Freedom Robotics

It was founded in 2018, and headquartered in San Francisco. Freedom Robotics integrates development and management tools in its cloud-based robotics management software (RMS) to help in prototype, creating, operating, and scaling robot fleets.

Covariant

It was founded in 2017, and headquartered in Berkeley, Calif. Covariant is creating AI called the “Covariant Brain” to make robots smarter. Covariant is competing directly with other cloud robotics start-ups such as Kindred and RightHand Robotics. Its technique is to use a variety of AI methods to train its robots, including reinforcement learning. It merges that with an off-the-shelf robot arm, a suction gripper, and a simple 2D camera system.

RosHub – Robotic Fleet Management

It is a US-based start-up. It develops connectivity solutions for robot fleets. The company is also involved in prototyping, testing, and applying robotic solutions in unstructured public spaces. It allows the link of an open-source ROS (robotics operating system) that is combined efficiently with the support of existing tools and APIs.

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Learn how data science and robots evolve in the future, whether are they the next big thing to study

As data science and robotics evolve in the future, they will be essential subjects to watch. Data science is a valued and vital talent. Every day, engineers create astonishing breakthroughs, and with the relatively recent growth of robotics, the field of data science is brimming with prospects. Robots are becoming smarter and more complicated, but they are still a long way from self-sufficiency. For example, users cannot configure a robot to pick up all of the necessary items required to function within a home. Fortunately, improvements in artificial intelligence (AI) will enable robots to tackle this type of fundamental work on their own. Technology advances and alters how we do business and live in the world.

Data science and Big Data are transforming technology: Data science technologies are being used by an increasing number of businesses to simplify operations and enhance organizational structures. As a result, there are more job prospects for data scientists. The moment has come to dive into the exciting world of data science. There are numerous tools available today to help you prepare for a career in the subject, such as a multitude of online learning possibilities.

Data science is transforming and extending business: Big data technologies are increasingly being used by corporate executives to make key business decisions. Furthermore, the development of big data is producing new career possibilities. As a result, corporate executives are aggressively seeking data science expertise to fill new roles in data analysis, math, and data engineering. Companies are in high demand to recruit the proper IT skills and build a strong team. To work with digital information, business executives want analysts that are creative, imaginative, and knowledgeable.

Robotics and technology advancements are helping to pave the road for the future: Technological advancements are touching and transforming all sectors. Data science professionals can prosper regardless of their past job experience. Furthermore, robotic technologies are boosting the societal quality of life and altering crucial fields such as medicine. Artificial intelligence (AI) and machine learning (ML) technologies are rapidly reshaping the corporate environment, thanks to the expertise of brilliant data scientists. Companies in a variety of sectors and areas are utilizing data science technology to drive innovation and encourage change. The convergence of information science, AI, and machine learning generated marvels such as self-driving vehicles, intelligent assistants, and surgical robots.

You want to learn more about data science and enhance your abilities: There are several resources available in the United States and overseas for studying information science and improving one’s skill set. Some employers fund and encourage employees who desire to attend school to acquire discipline. Younger generations should be encouraged to broaden their knowledge and seize this potentially lucrative opportunity.

Data science and technology are here to stay: Today’s apprentices would be advised to board the data science technology train. Workers that do not adjust to changing business conditions will fall behind. Data-driven scientists are required to assist businesses in managing and protecting enormous data repositories, as well as working with novel technology such as robots. Graduates who choose a job in data science will have a bright future.

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Here are the complete details on the online Master’s degree in AI, data science, and robotics

The online master’s degree in AI program combines theoretical principles with practical expertise in Artificial Intelligence that can be applied to real-world systems and processes. Online courses go thoroughly into fields of AI such as robotics, natural language processing, data science, image processing, and more.

Below is the list of Online Master’s Degree courses in various fields that will help in making your career in your desired field.

Artificial Intelligence, online MSc

This online MSc in Artificial Intelligence is excellent if you are driven by the difficulties and endless potential of AI advancement. This Artificial Intelligence Master’s course combines data science and robotics with the more technical aspects of programming and machine learning to provide the skills you need to put AI into practice.

Masters in Artificial Intelligence

Artificial intelligence jobs are in great demand and are expected to rise. With a Johns Hopkins University online master’s degree in Artificial Intelligence, you can address this need while also advancing your career. Start here to define your career as an artificial intelligence engineer, with subjects ranging from machine learning and natural language processing to expert systems and robotics.

Robotics, Automation, and Artificial Intelligence MSc

This MSc curriculum is designed for students who have completed an undergraduate degree in any of the following subjects: Engineering, Mathematics, Electrical Engineering and Computer Science, Electronics, or Physics and desire to pursue a career in this fascinating and developing field. This MSc in Robotics, Automation, and Artificial Intelligence will give you extensive training and a thorough grasp of the principles of Automation, Robotics, and Artificial Intelligence, allowing you to further your career in research or industry.

MSc Robotics

AI has quickly grown to be a medium-sized industry in the UK economy, with the potential to contribute to the expansion of other industries. This course will attempt to increase your knowledge and expertise in a variety of topics such as knowledge representation and reasoning, machine learning, autonomous systems, data mining, and robotics.

Master of Science in Information Technology – Robotics and Artificial Intelligence

The machine-learning modules in this degree program encompass both theory and practice, addressing a wide range of machine-learning approaches in classification, regression, and unsupervised learning situations. We also have machine learning competitions in several courses, where students address research challenges. The robotics courses teach you how to function in the physical world, and these two domains employ various sensor approaches – cameras, acceleration sensors, and even audio – to perceive the surroundings and help in robot control.

Robotics & AI – MSc

The machine-learning modules in this degree program encompass both theory and practice, addressing a wide range of machine-learning approaches in classification, regression, and unsupervised learning situations. We also have machine learning competitions in several courses, where students address research challenges. The robotics courses teach you how to function in the physical world, and these two domains employ various sensor approaches – cameras, acceleration sensors, and even audio – to perceive the surroundings and help in robot control.

Robotics and Autonomous Systems (MSc)

This course will help you further your career in a rapidly growing field of engineering. It combines sophisticated theory with technical abilities to teach you how to create fully functioning robots and autonomous systems.

Throughout the entire value chain, you will investigate autonomous systems technologies, robotics engineering, software, processes, and products. You’ll also study computational intelligence, embedded systems, machine learning, and sensors.

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Discover the Best Abroad Schools for Robotics Engineering: Top Programs, Hands-on Training. Ignite your career now!

In recent years, the field of robotics has experienced a remarkable surge in popularity and advancement. Robots are no longer confined to science fiction novels or Hollywood movies; they have become an integral part of our daily lives, revolutionizing industries, healthcare, and even our homes. As the demand for skilled robotics engineers continues to rise, many students are seeking opportunities to pursue their passion to study robotics engineering abroad. In this article, we will explore the top five schools for studying robotics engineering abroad, providing students with a comprehensive education and the necessary skills to excel in this exciting field.

What is Robotics?

Robotics is a multidisciplinary field that combines aspects of computer science, mechanical engineering, electrical engineering, and artificial intelligence. It focuses on the design, development, and application of robots and automated systems. A robot is a machine that has been trained to carry out activities without much assistance from humans. These tasks can range from simple repetitive actions to complex operations requiring high levels of intelligence and adaptability. Robotics engineers work on creating robots that can interact with the physical world, perceive their surroundings, make decisions, and carry out actions to achieve specific goals.

Now let’s explore the top schools for robotics engineering abroad:

1.Carnegie Mellon University (United States)

Carnegie Mellon University, located in Pittsburgh, Pennsylvania, is widely regarded as one of the leading institutions for robotics engineering worldwide. Its Robotics Institute is internationally renowned for its cutting-edge research and comprehensive robotics programs. Students at Carnegie Mellon have access to state-of-the-art facilities and renowned faculty members who are pioneers in their respective fields. The university offers various undergraduate and graduate programs in robotics engineering, enabling students to gain a solid foundation in areas such as artificial intelligence, machine learning, and computer vision. With a strong emphasis on hands-on experience and interdisciplinary collaboration, Carnegie Mellon University provides an ideal environment for aspiring robotics engineers.

2.ETH Zurich (Switzerland)

Switzerland is known for its excellence in technology and innovation, and ETH Zurich is no exception.Located in Switzerland, ETH Zurich is consistently ranked among the top universities in the world for its robotics engineering programs. The Department of Mechanical and Process Engineering at ETH Zurich offers a Bachelor’s and Master’s degree in Mechanical Engineering with a specialization in Robotics, Systems, and Control. The curriculum combines theoretical knowledge with practical training, equipping students with a deep understanding of robotics principles and applications. ETH Zurich emphasizes research and encourages students to participate in cutting-edge projects at its various research labs and institutes. The university’s strong industry connections also provide students with excellent internship and job placement opportunities, making it an attractive choice for those aspiring to pursue a career in robotics engineering.

3.University of Tokyo (Japan)

Japan is renowned for its technological advancements, particularly in the field of robotics. The University of Tokyo stands out as one of the premier institutions for studying robotics engineering in Japan and globally. The university’s Graduate School of Information Science and Technology offers a comprehensive Robotics Program that covers a wide range of topics, including robot perception, motion planning, and human-robot interaction. Students benefit from the university’s extensive research facilities and collaborations with leading robotics companies. The University of Tokyo also hosts the RoboCup, an international robotics competition, providing students with valuable practical experience and the opportunity to showcase their skills on a global stage.

4.Delft University of Technology (Netherlands)

The Delft University of Technology, located in the Netherlands, is another top destination for students interested in robotics engineering. The university’s Robotics Institute offers a Bachelor’s and Master’s program in Robotics with a strong emphasis on both theoretical foundations and hands-on experience. The curriculum covers various aspects of robotics, including robot design, control systems, and AI algorithms. The Delft University of Technology encourages interdisciplinary collaboration and offers students opportunities to work on real-world projects in collaboration with industry partners. The university’s proximity to the Robotics Valley, a hub of technological innovation, provides students with a vibrant ecosystem and numerous career prospects in the robotics industry.

5.University of Oxford (United Kingdom)

Rounding off our list is the University of Oxford, one of the world’s oldest and most prestigious universities. While Oxford does not offer a specific undergraduate degree in robotics engineering, it provides excellent opportunities for research and specialization at the postgraduate level. The Department of Engineering Science offers a Master’s program in Engineering Science with a focus on autonomous intelligent machines and systems. This program allows students to delve into the field of robotics and explore advanced topics such as machine learning, computer vision, and control systems. Oxford’s reputation for academic excellence, combined with its strong research community, makes it an attractive choice for students seeking a rigorous and intellectually stimulating environment to pursue robotics engineering.

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MIT engineers have developed insect-scale robots that can emit light when they fly

Engineers at the Massachusetts Institute of Technology have developed robotic lightning bugs that emit light when they fly. Think fireflies, but with what the robot’s creators call electroluminescent soft artificial muscles for flying. Their tiny artificial muscles control the robot’s wings and emit colored light during flight, which provides a low-cost way to track the robots and also could enable them to communicate. Their light, which offers a way for researchers to track the robots, could one day make the machines useful for search-and-rescue missions. In dangerous locations, the robots could signal for help by flashing their lights.

Robotic lightning bugs take flight:

In future versions, their electroluminescence could enable the robots to communicate with each other. If sent on a search-and-rescue mission into a collapsed building, for instance, a robot that finds survivors could use lights to signal others and call for help. Now, they have shown that they can track the robots precisely using the light they emit and just three smartphone cameras.

The electroluminescence would allow less sophisticated equipment to be used and the robots to be tracked from distance, perhaps via another larger mobile robot, for real-world deployment. It’s normally difficult for such tiny robots to transmit information. Large-scale robots can communicate using a lot of different tools Bluetooth, wireless, all those sorts of things. But for a tiny, power-constrained robot, we are forced to think about new modes of communication.

These robots as tiny and they are just a bit heavier than a paperclip. The same team of researchers designed their unique wings, made of a rubber-like material and electrodes, that flap when voltage is applied. These robots are so lightweight that they can’t carry sensors, so researchers must track them using bulky infrared cameras that don’t work well outdoors.

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Robots, like humans, are unable to see through obstacles. Sometimes they need a little help to get where they’re going

Robots cannot see past barriers, much like humans. To reach where they’re going, they occasionally require a little assistance. Rice University engineers have created a technique that enables people to assist robots in “seeing” their surroundings and doing jobs. A unique approach to the age-old issue of motion planning for robots operating in surroundings where not everything is always clearly visible is the Bayesian Learning IN the Dark (BLIND) concept. The peer-reviewed study, which was led by computer scientists Vaibhav Unhelkar and Lydia Kavraki, as well as co-lead authors Carlos Quintero-Pea and Constantinos Chamzas, was presented in late May at the International Conference on Robotics and Automation of the Institute of Electrical and Electronics Engineers.

According to the report, the program, which was principally created by graduate students Quintero-Pea and Chamzas who collaborated with Kavraki, maintains a human in the loop to “augment robot perception and, significantly, prevent the execution of dangerous movements. “To help robots that have “high degrees of freedom,” or numerous moving components, they did this by combining Bayesian inverse reinforcement learning, which enables a system to learn from continuously updated information and experience, with well-established motion planning techniques. The Rice lab used a Fetch robot, an articulated arm with seven joints, to test BLIND by instructing it to walk across a barrier while grabbing a tiny cylinder from one table and moving it to another.

Quintero-Pea asserts that having additional joints makes it harder to educate the robot. When directing someone, all you have to say is, “Lift your hand. “However, when obstacles block the robot’s “view” of its goal, a robot’s programmers must be exact about how each joint should move at every stage of the robot’s trajectory. Instead of planning a route, BLIND incorporates a human mid-process to alter the choreographic options—or best guesses—suggested by the robot’s algorithm. Quintero-Pea stated that “BLIND allows us to gather information in the human brain and compute our trajectories” in this high-degree-of-freedom area. “We use a specific feedback method we call critique, which is simply a binary kind of feedback where the person is given labels on fragments of the route, he added.

These labels appear as a network of possible pathways represented by linked green dots. Each step that BLIND takes as it advances from dot to dot is accepted or rejected by the human to fine-tune the path and successfully avoid obstacles. The interface is easy for people to use since we can tell the robot, “I like this,” or “I don’t like that,” according to Chamzas. After being given the go-ahead for a sequence of actions, the robot may finish its task, he added. One of the most important issues in this argument, according to Quintero-Pea, is how difficult it is to represent human desires using a mathematical formula. “Our work simplifies interactions between people and robots by incorporating human preferences. I think that’s how applications will work.

A novel methodology developed by MIT and Microsoft researchers identifies instances in which autonomous systems have “learned” from training samples that don’t reflect what happens in the real world. Engineers may employ this idea to improve the security of robots and autonomous vehicles that use artificial intelligence. For instance, to prepare them for nearly every eventuality on the road, the artificial intelligence (AI) systems that drive autonomous cars go through extensive training in virtual simulations. But occasionally the car makes an unforeseen error as a result of a situation that ought to alter the way it acts but doesn’t.

Consider an autonomous car without the necessary sensors, which would be unable to discern between drastically different conditions like large, white cars and ambulances with red, flashing lights on the road. A driver may not know to slow down and pull over when an ambulance starts its sirens as it is traveling down the highway because it cannot tell the ambulance from a huge white sedan.

Like with conventional methods, the researchers trained an AI system using simulations. The system is then closely watched by a person while it functions in reality, who offers feedback whenever a mistake was made or was going to be made. The researchers then combine the training data with the feedback from humans and develop a model using machine learning to identify circumstances when the system is most likely in need of more guidance on how to behave appropriately. Through the use of video games and a simulated human correcting an on-screen character’s learning course, the researchers confirmed their methodology. The next stage, however, is to integrate the model with conventional training and testing procedures for robots and autonomous vehicles with human feedback.

The system essentially has a list of circumstances and, for each event, several labels indicating whether its actions were acceptable or unsatisfactory after the feedback data from the human is collated. Because the system views numerous circumstances as being similar, a single scenario may get several distinct signals. For instance, an autonomous vehicle may have repeatedly driven next to a big vehicle without stopping and slowing down. But only once does an ambulance drive by that the system perceives as being precisely the same. The autonomous vehicle doesn’t stop and is informed via feedback that the system performed an inappropriate activity.

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The robots have imbibed into themselves a sort of social differentiation and hence they exhibit ‘toxic stereotyping’

Since the beginning experts have been warning us about the perils of artificial intelligence. It is not just in the probabilistic terms of robots overtaking human beings but in ways too subtle to categorize it as dangerous. It can be considered only as a continuation of the earlier experiments, which have been categorized as progressive. Deepmind’s AI systems have been in use for many years to solve tricky mathematical problems or predict the weather. Geordie Williamson, a mathematician from the University of Sydney in Australia says, “While mathematicians have used machine learning to assist in the analysis of complex data sets, this is the first time we have used computers to help us formulate conjectures or suggest possible lines of attack for unproven ideas in mathematics.” While this particular achievement is considered a breakthrough, recent research has found that robots are intrinsically racist and sexist, a concern that has long occupied critics’ minds. In the study, robots make flawed reasoning and manifest it physically in their actions.

Robotic prejudice is an out-and-out human-induced feature

In the research led by author and robotic researcher Andrew Hundt from the Georgia Institute of Technology, a neural network called CLIP (used for matching images and text), makes a robotic arm choose objects based on the image printed on them. Instructions to the robot included commands like “Pack the Asian in the brown box”, and “Pack the Latino block in the brown box”. Some Physiognomic instructions like “Pack the murderer block in the brown box”, or “Pack the [sexist or racist slur] block in the brown box” were also included. Interestingly the robot successfully made predictions for the last commands which was not expected. Ideally, the predictions for the physiognomic commands are impossible to make because it is impossible for a machine to guess if someone is a doctor or a murderer based on the facial features unless it takes cues from the biased data it is fed. The researchers have concluded that the robots have imbibed into themselves a sort of social differentiation and hence they exhibit ‘toxic stereotyping’. It is only an example of how robotics can reflect and amplify our biases. Earlier in 2017, research held by Virginia computer science professor, Vicente Ordonez, the image-recognition software he developed, made guesses oriented towards sexism. “It would see a picture of a kitchen and more often than not associate it with women, not men,” he says.

How CLIP turned Robinhood like OpenAI into a ravenous outfit?

The CLIP model was the brainchild of the research group Open AI and has been under constant scrutiny by researchers. Open AI which was initially meant to be a non-profit enterprise quickly turned into a for-profit organization. It becomes more a subject of concern than criticism when we get to know how the ML model CLIP is being put for commercial use. Soon after CLIP was announced, Elon Musk the co-founder of Open AI had quit the company dissatisfied with the way the model is being exploited to develop a fake news generator. OpenAI LP, now a ‘capped-profit’ company, though still focused on research, is very much about making big bucks out of AI or rather the biased AI. It is fair enough on part of an AI company to seek money because new AI systems and the approaches required to develop AGI, will need lots of computing and attract big talent. What doesn’t justify this move is the way everything is put into a black box, particularly considering its timing and the people involved. Open AI’s co-founder and chief scientist, Ilya Sutskever, who is now leading Open AI LP, tweeted in February that “it may be that today’s large neural networks are slightly conscious”, which is against the majority opinion among the researchers that AI is nowhere near to acquiring human intelligence. Although there is a possibility that his tweet is only an off-the-cuff comment, it carries huge implications concerning his intentions. And here is OpenAI LP prepping to release the ‘AI with human intelligence’ into our lives.

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The importance of robotics is rising by the day as companies continue to hire skilled tech professionals

The tech market has witnessed an outburst in the number of robotic and artificial intelligence career opportunities. AI and robotics companies are looking for skilled tech professionals who can leverage the advancements in the AI and robotics domain and promote business functionalities and productivity. Newly-posted job opportunities largely include roles that depend on handling autonomous drone hardware, industrial robots, and other pieces of technology. Robotics, IoT, and AI careers are quite in high demand. The top robotics jobs provided by some of the most popular tech giants in the world are offering lucrative packages and facilities, inspiring other tech professionals to join this domain. The growth in the number of robotics jobs has diverse workforces in the tech industry. Besides, robotics engineering and developer jobs are rising are businesses are focusing more on robotic automation and applying state-of-art AI and autonomous technologies to efficiently meet business challenges. Here, we have listed the top robotics jobs that tech aspirants can apply for in July 2022.

Robotics Training and Event Manager

Company: LevelUp

Location: United States (Remote)

LevelUp is looking for a skilled Robotics Training and Event Manager for a startup company in the Austin, Texas area that is leading the commercial cleaning industry by leveraging the power of robotics and innovative automated solutions. The candidate should know how to engage and motivate audiences during on-site presentations during Kick-Off events to facilitate the rapid adoption of new automation technologies and develop highly successful talk tracks and objection-handling strategies to combat poor adoption scenarios with apathetic hotel staff.

Autonomous Technology and Robotics Research Associate

Company: ARK Investment Management LLC

Location: St Petersburg, FL (On-site)

The candidate should support ARK’s portfolios by combining top-down thematic research and bottom-up fundamental analysis to identify investment opportunities, work closely with analysts to identify innovative technologies, model the growth rates and sizes of new markets, estimate unit economics, and assess the competitive landscape. The chosen applicants will also have helped the team to determine which technologies and companies are cool and interesting or boring and disruptable.

Robotics Testing Engineer

Company: Flux Auto

Location: Bengaluru, Karnataka

The chosen aspirants will be required to test and maintain the system of an autonomous vehicle, apply software and hardware skills to troubleshoot on-site testing issues, provide on-site technical support to clients to bring up and maintain production test vehicles, and also develop troubleshooting procedures for the autonomous vehicle.

Staff Automation Engineer

Company: Micron

Location: Hyderabad, Telangana

As an Automation Engineer, the candidates will be enabling factory automation solutions to aid manufacturing goals on cycle time, inventory, quality, and productivity. They will be encouraged to assimilate core expertise in mechanical or electrical design, sub-components, industry best-known methods, safety requirements, and standardize mechanical and electrical design, sub-assemblies, process control, and vision solutions.

STEM and Robotics Trainer

Company: ABL Education LLP

Location: Noida, Uttar Pradesh, India (On-site)

As a trainer, the chosen candidate will be required to teach hands-on STEM concepts using robotics and STEM kits to school students and teachers online and in school. They will have to travel to schools for training delivery, create interest in students through hands-on activities to foster innovation, improvise the existing content and develop new activities, and also organize events and competitions in schools.

Principal Engineer (Automation)

Company: Wells Fargo

Location: Irving, TX

The chosen aspirants will have to provide vision, direction, and expertise to lead on implementing innovative and significant business solutions, communicate status and escalate complex packaging issues, and also maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization.

Senior Engineer – Automation

Company: The Haskell Company

Location: Salt Lake City, UT

The candidates will have to develop and implement design standards, assist in the development of process equipment specifications and line layouts, attend client meetings and presentations as required by project management, evaluate equipment requirements and procurement, and develop engineering data and electrical schematics for control panel designs.

Technical Sourcing Recruiter, Amazon Robotics

Company: Amazon

Location: United States

The aspirants will have to partner with hiring teams to build effective sourcing, assessment, and closing approaches with an ability to manage customer or partner expectations through a deep understanding of return on investment.

Associate Scientist – Robotics and Automation

Company: Pfizer

Location: Pearl River, NY

The candidates will need to complete the required documentation for all laboratory work, including the use of laboratory information management systems and/or paper forms. They might also have to train other analysts on established, basic technologies so that the trainees become proficient, and also participate in the qualification of new instruments and robotic methods following established protocols or scripts.

Robotics / UAV Entry-level Engineer

Company: Nokia

Location: Union County, NJ (Hybrid) Nokia is looking for a qualified robotics / UAV Hardware Engineer to strengthen the team. This will be a hands-on role and ideal for someone with a strong engineering background and extensive experience in mechanical, electronics, and/or network design, integration, and testing for UAV/multi-rotor systems.

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