Рубрика: Robotics

Meet OMOY, the robot that can express human feelings while reading text messages

Recent technological developments have enabled robots to feel, get hurt, and showcase emotions. Yet, while emotional expression is quite appreciated among robots, they are also tasked with understanding human emotions and conveying messages accordingly to the users. The newly developed robot, OMOY, can actually understand the feelings of the sender and convey them to the recipient accordingly. The researchers at the University of Tsukuba have built this handheld robot that is equipped with a movable weight actuated by mechanical components inside the body. By shifting the internal weight, the robot could express simulated emotions. The robot was deployed as a mediator for reading text messages and can be especially helpful when the text is quite unwelcoming or frustrating. The news is accompanied by a note of encouragement and advice from OMOY so that the recipient of the message does not get upset after hearing the news.

How did the researchers create the robot?

The researchers tested 94 people with different types of messages. The team found that OMOY was able to reduce negative emotions. The weight of the message was shifted, giving the user the proper indication that the intention of the robot was to help the recipients of the messages calm down.

The robot’s body expression produced weight shifts that did not require any specific external components, such as arms or legs, which indicated that the internal weight movements could reduce a user’s anger or other negative emotions without the use of rich body gestures or facial expressions.

This robot is just another example of technological innovations powered by artificial intelligence and machine learning. These disruptive technologies have revolutionized the nature of customer experiences and service delivery by delivering cute interactive robots that can express positive human feelings and help cut down negative thoughts from the users’ minds.

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The top 10 BTech robotics engineering colleges in India 2023 are mentioned here

Robotics engineering is a rapidly growing field combining mechanical, electrical, and computer science to design, develop, and operate robots. With the advancements in automation and artificial intelligence, the demand for skilled robotics engineers has soared. If you aspire to pursue a Bachelor of Technology (BTech) degree in Robotics Engineering in India, here are the 10 best colleges to consider in 2023.

1. Indian Institute of Technology (IIT), Kanpur: IIT Kanpur is renowned for its excellence in engineering education. Its robotics engineering program offers a comprehensive curriculum covering control systems, machine learning, computer vision, and robotics design. The institute also provides state-of-the-art research facilities and opportunities for practical hands-on experience.

2. Indian Institute of Technology (IIT), Bombay: IIT Bombay is another prestigious institution known for its strong engineering programs. Its BTech Robotics program focuses on theoretical foundations, algorithm development, and practical implementation. The institute encourages innovation and provides students with ample opportunities to participate in robotics competitions and projects.

3. Indian Institute of Technology (IIT), Madras: IIT Madras offers a rigorous BTech Robotics program that equips students with a deep understanding of robotics principles and technologies. The curriculum emphasizes practical skills through laboratory work, project-based learning, and internships. The institute also collaborates with industry leaders to provide exposure to real-world robotics applications.

4. Birla Institute of Technology and Science (BITS), Pilani: BITS Pilani is a renowned private institution known for its strong engineering programs. Its BTech Robotics Engineering program focuses on robotics fundamentals, automation, and intelligent systems. The institute emphasizes interdisciplinary learning and provides opportunities for research and industry collaborations.

5. Vellore Institute of Technology (VIT), Vellore: VIT Vellore offers a BTech program in Robotics and Automation Engineering that provides students with a comprehensive understanding of robotics, automation, and control systems. The curriculum includes artificial intelligence, machine learning, and computer vision courses. The institute has well-equipped robotics laboratories and encourages industry internships for practical exposure.

6. SRM Institute of Science and Technology, Chennai: SRM Institute of Science and Technology offers a BTech Robotics and Automation Engineering program focusing on robotics design, control systems, and autonomous systems. The curriculum includes courses on programming, sensor integration, and industrial automation. The institute also emphasizes research and encourages students to participate in national and international robotics competitions.

7. Manipal Institute of Technology, Manipal: Manipal Institute of Technology offers a BTech program in Mechatronics Engineering, which encompasses robotics, electronics, and mechanical systems. The curriculum includes courses on robotics, automation, and control systems. The institute provides excellent infrastructure, including robotics labs and research facilities, to support practical learning.

8. National Institute of Technology (NIT), Trichy: NIT Trichy offers a BTech program in Robotics Engineering that covers kinematics, dynamics, control systems, and artificial intelligence. The curriculum emphasizes hands-on learning through projects, workshops, and internships. The institute also collaborates with industry partners for practical training and research opportunities.

9. PSG College of Technology, Coimbatore: PSG College of Technology offers a BTech program in Robotics and Automation Engineering that focuses on robotics design, control systems, and industrial automation. The curriculum includes programming, robotics, kinematics, and computer vision courses. The college has well-equipped laboratories and a strong industry network for internships and placements.

10. SASTRA Deemed University, Thanjavur: SASTRA Deemed University offers a BTech program in Robotics Engineering that covers various aspects of robotics, including mechanical design, control systems, and artificial intelligence. The curriculum emphasizes practical learning through hands-on projects and industry internships. The university also has collaborations with research organizations for research and development opportunities.

When choosing a robotics engineering college, consider the curriculum, faculty expertise, research opportunities, industry collaborations, and placement record. These 10 colleges stand out for their strong programs and commitment to producing skilled robotics engineers.

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Here are the top 3 US robotic trends for 2023 and beyond predicted by the President of ABB

John Bubnikovich, President of ABB US Robotics Division, predicts numerous significant US robotics automation trends for 2023 and beyond. The US robotics market is anticipated to increase annually at 5.62% (CAGR), reaching a market volume of over $9 billion by 2027.

Despite the possibility of a short-term slowdown in the US economy, many firms are increasingly feeling the effects of the labor shortage in the country as they battle to meet client demand. “This, coupled with the increasing trend of reshoring and nearshoring of operations, brittle supply chains, rising material costs, and global political uncertainty, means more companies are adopting robotic automation to maximize flexibility, build resilience, and adapt more sustainable production processes.”

Trend 1
The effects of aging populations and a growing reluctance to accept low-paid, boring, unclean, and dangerous employment are felt across various industries, and they will persist well through 2023. The Congressional Budget Office recently forecasted that the size of the US labor force will increase by just 0.2% year from 2024 to 2031, while a study by Deloitte and The Manufacturing Institute predicts that by 2030, there will be more than 2.1 million US manufacturing positions that are unfilled. As a result, economic growth will be hampered, and businesses will be forced to develop novel staff fill-in strategies.

Robot demand will be incredibly high in nations where businesses intend to re-shore or near-shore their operations to increase the stability of their supply chains in the face of global unpredictability. According to a poll of 1,610 organizations conducted by ABB Robotics in 2022, 62% of US businesses stated they would invest in robotic automation within the next three years. Meanwhile, 70% of US enterprises planned to re- or near-shore their operations.

Trend 2

Robots can carry out various activities thanks to autonomous grasping and positioning, made possible by ongoing advances in artificial intelligence. A Burrtec Waste Industries material recovery plant in Riverside, California, has a conspicuous display of how this increased usage of AI in robotics aids in jobs like picking non-uniform things. Here, ABB delta robots with vision and AI capabilities scan waste stream materials and choose a variety of contaminants from the line that the robot has learned cannot be recycled.

Simultaneously, by eliminating the requirement for specialized knowledge, continued simplicity of the software and controllers used to program robots will further lower adoption barriers.

Trend 3

The demand for people to develop new skills that will enable them to succeed in an automated environment is growing as more businesses use robots. To do this, a collaborative, multigenerational strategy will be needed, involving everyone from SMEs and training organizations to schools, colleges, and universities.

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Computer vision and Robot vision key differences are in focus applications, and challenges differ

Computer Vision and Robot Vision are two related fields that involve the interpretation and analysis of visual data. The key differences: Computer vision vs Robot vision is applied in domains like healthcare, entertainment, and surveillance, while robot vision enables robots to perceive and interact with their environment.

Integrating enables robots to perceive and interpret visual information, essential for autonomous decision-making and effective interaction with the physical world. By employing computer vision algorithms, robots can recognize objects, track their movements, and make informed decisions based on visual cues. This integration facilitates various applications, including industrial automation, autonomous vehicles, and robotics in healthcare and logistics.

Let’s dive deep into Computer vision vs Robot vision: key differences:

Computer Vision and Robot Vision differ in several key aspects. Computer Vision has a broad application focus across various domains, while Robot Vision aims explicitly to enable robots to perceive and interact with their environment. Robot Vision integrates vision systems with robotic hardware and control systems, whereas Computer Vision is often detached from physical systems. Robot Vision operates in real-time scenarios, requiring fast perception and decision-making, while Computer Vision can usually be performed offline or with relaxed time constraints. Robot Vision utilizes multiple sensors, such as cameras, depth sensors, and LiDAR, to capture a comprehensive understanding of the environment, while Computer Vision primarily relies on visual data alone. Robot Vision is part of a closed-loop control system, providing real-time feedback for robot control, whereas Computer Vision’s feedback loop is typically indirect. By understanding these differences, researchers and practitioners can develop practical solutions and advance the capabilities of visual perception systems in both fields.

Computer vision is a field of study that aims to enable computers to understand and interpret visual data, typically images or videos. It involves the development of algorithms and techniques to extract meaningful information from optical inputs. Computer vision algorithms analyze images to recognize objects, detect and track motion, estimate depth, segment regions, and perform other tasks. The ultimate goal is to enable machines to perceive and understand the visual world in a way that is similar to human perception.

On the other hand, robot vision focuses explicitly on the visual perception capabilities of robots. It uses cameras and sensors to allow robots to perceive and understand their surroundings visually. Robot vision integrates computer vision techniques with robotics, enabling robots to gather visual information, process it, and make informed decisions based on the analyzed data. The primary objective of robot vision is to allow robots to interact with and navigate their environment autonomously.

One fundamental difference between computer vision and robot vision is the application domain. Computer vision is a broader field that finds applications in various disciplines, such as healthcare, entertainment, surveillance, augmented reality, and autonomous vehicles. It is not necessarily limited to robots. On the other hand, robot vision is specifically tailored to meet the visual perception needs of robots, enabling them to perform tasks such as object manipulation, path planning, and obstacle avoidance.

Robot vision faces unique challenges that are less prominent in computer vision. One such challenge is sensor integration. In addition to cameras, robot vision systems often incorporate other sensors such as depth sensors, LiDAR, and range finders to provide a more comprehensive understanding of the environment. Integrating data from multiple sensors and fusing the information effectively pose challenges regarding calibration, synchronization, and data fusion techniques.

The physical embodiment of robots introduces another differentiating factor. Robots perceive visual data and act upon it in the physical world. This interaction requires the fusion of visual perception with motor control and decision-making algorithms. Robot vision systems must generate outputs that the robot’s control system can use to perform physical actions. This tight coupling between perception and action sets robot vision apart from computer vision, where the focus is primarily on understanding visual data.

The deployment environments for computer vision and robot vision also differ. Computer vision algorithms are often designed to run on general-purpose computing platforms, such as desktop computers or cloud servers, with sufficient processing power and memory. In contrast, robot vision systems are typically deployed on embedded platforms with limited computational resources. This limitation necessitates the development of computationally efficient algorithms that can run in real-time on the robot’s hardware.

Computer vision has a broader scope and finds applications across various domains, while robot vision is tailored to meet the visual perception needs of robots operating in dynamic environments. Robot vision faces additional challenges in real-time processing, sensor integration, physical embodiment, and deployment on resource-constrained platforms. Understanding these differences is crucial for researchers and practitioners in both fields to develop effective solutions and advance the capabilities of visual perception systems.

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Kids surrounded by advanced technologies are very much adept at the idea of having and also making smart toys.

Kids playing with conventional toys is passe. With their environment well surrounded by advanced technologies like Alexa, smart security gadgets attached to their bodies, smart classrooms, etc., they are well adept at the idea of having smart toys. Taking this trend further, companies are making programmable robots for kids to channel their interest in playing with toys into a more beneficial area, ie., developing critical thinking which is very much required to build a programmable robot. Here we list out the top 10 programmable robot kits for kids and teenagers.

1. POKONBOY 13-in-1 Robot kit

Age: 8 years and above

A solar power-enabled robot, with 190 building block pieces, has 13 robot options to choose from. Your child will never get bored of playing with the robot as it comes with additional design options. The kids can build their own model with the blocks to make it move on water and on land as well.

2. LEGO boost creative toolbox:

Age: 7- 12 years

Very similar to LEGO bricks is a kind of its robotics version. LEGO creative toolbox is programmable enabling a child to code behaviours into different builds. With 857 pieces, it is possible to build five different models with varying difficulty. It is an intellectually engaging kit, that can make a child spend days putting together blocks. Programmable via an app it pairs with other LEGO toys as well.

3. Nintendo Labo – variety kit:

Age: 6-12 years

An eco-friendly robot assembling kit, which uses cardboards, paper cups, makes a perfect choice if you want to see your child’s creativity soar high. While the robots can be connected to the Nintendo switch, the projects can be brought to life with mini-games. Nearly 6 different builds are possible with this kit while facilitating customisation with markers, stickers, and paint. At an advanced level, the child can play around with connecting other household objects to build his unique design.

4. UBTECH JIMU Robot Builderbots Kit:

Age: 8 years and above

It is an easy-to-build robot kit for kids which has some cool features to allow your kid to learn advanced engineering skills. It is possible to build the Robo with full functionality without the requirement of assembling tools. That implies it is safe and easy to build for kids. The servo motors enable smooth and fluid-like motion is enabled with JIMU robots. It comes with an animated instruction manual to make the job easy for your kid to learn and have fun moving a robot around the room.

5. Erector by Meccano Robot – Building Kit

Age: 10 years and above

A fully programmable talking robot, makes a perfect choice for a middle schooler, to discover the little Einstein in him as it combines science, technology, and engineering in the right proportions. With 1,000 parts, 3,000+ programmed phrases, LED eyes, and some quirky dance moves, assembling becomes part fun and part challenge.

6. Eleggo UNO R3 Project – Smart Robot Car kit

Age: 12 years and above

If your kid is a car aficionado, perhaps this kit can pamper the engineer in him/her. With multiple modes such as infrared, obstacle, or line tracking mode, your child will learn to create, load, and run the car programming. It has only 24 parts and makes a good option for kids who are more inclined to program than assemble. It comes with a CD with HD instructions to guide the child through the construction process.

7. Sillibird STEM 12-in-1 Educational Solar Robot:

Age: 8 to 10 years

Sillibird STEM Solar Robot, is an educational robot that facilitates learning in the process of assembling. It has only two difficulty levels and 12 design options, which means it is easy to manipulate, for kids who find tech toys intimidating. The uniqueness of this robot lies in its amphibious nature. It can move on land and in water, all powered by solar energy, a toy perfect to teach kids the value of sustainable technology.

8. Elenco Tech Tech Hydraulic Kit:

Age: 10 years and above

As the name suggests, it operates on hydraulic power. It is an hydrobot arm, which can rotate 270-degrees, with hydraulic plungers and move, grip, and pick up objects. Kids will have fun assembling this robot and understand how hydraulics can power up robotics, a good beginning to adapt to green engineering techniques.

9. 2Pepers Electric Robotic Kit:

Age: 8 years and above

A unique robotic kit to nurture the creative skills of a child. The kit contains 4 unique robotic kits, to build a variety of robots from cars to motors that you can drive around to the ones that can paint. It is one of the best robotic kits for kids which lets the child create his own electric motor making programming for these robots both a fun and enlightening experience.

10. Wonder workshop dash coding robot:

Age: 6 years and above

A smart choice for parents who want their kids to develop coding skills from early in childhood. Wonder Workshop is a known name among robotic kits for beginners, as it comes loaded and ready for about 5 hours of playtime. As it doesn’t require extensive assembling, it is best suited for tiny tots. It is compatible with Lego and can be connected to other Lego bricks with building brick connectors that come with the set. There are 4 advanced apps to make the transition from basic to advanced concepts easy.

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Let’s see how Cobot hacking can destroy much more than you can probably think

What are Cobots?

A cobot, or collaborative robot, is a robot designed for direct human-robot contact in a shared area or for close proximity to people. Traditional industrial robot applications, in which robots are segregated from human contact, contrast with cobot applications. Cobot safety can be ensured through the use of lightweight construction materials, rounded edges, natural speed, and force limitations, as well as sensors and software that ensure safe behavior. Because they are designed to work alongside people, service robots could be termed cobots. Industrial robots have historically worked in isolation from humans, separated by fences or other barriers, but cobots eliminate this barrier.

Cobots can be used for a variety of tasks, including information robots in public spaces (an example of a service robot), logistics robots that transport materials within a building, and industrial robots that help automate non-ergonomic tasks like assisting people with heavy parts, machine feeding, and assembly operations.

Are Cobots hackable?

With high-profile security breaches occurring on a regular basis, cybersecurity is a major worry for most firms. Security breaches aren’t immune to cobots, and the consequences of a hack might be disastrous, if not fatal. Along with parking violations, taxes, and public transportation, hacking has become a typical irritation in modern life.

Despite the fact that hackers are widespread, security breaches have far-reaching consequences. Many of these vulnerabilities are well-known, but what if a collaborative robot was hacked? Is that even possible?

A hacker might wish to access a collaborative robot for mainly one of five reasons:

1. A hacker could alter or sabotage the production outcome by making minor changes to the robot programming. This could compromise the product’s integrity and make it nearly untraceable.

2. Using a ransomware scheme – A hacker might seize control of the robot and prohibit access to it, demanding payment to free it and prevent them from causing more damage, similar to many other computer attacks.

3. Physical damage – A hacked robot could harm people and/or equipment, resulting in significant financial and reputational damage to your firm.

4. Interference with the manufacturing line – A hacker could alter the robot’s productivity, causing bottlenecks in the entire line and/or causing product damage.

5. Exfiltration of sensitive data – Any stored data relating to trade secrets could be taken from the robot controller.

How much destruct can it cause?

A company’s reputation and bottom line can be harmed by any security violation.

The fact that robots are physical machines, on the other hand, adds to the grounds for anxiety. They have the potential to cause serious bodily harm and destruction. Because collaborative robots are built to work alongside humans, the consequences of a cyber-attack might put people’s lives in jeopardy, not just the company’s.

A cyberattack on an industrial robot, whether it’s a collaborative robot or not, could have three major consequences:

• Safety – Cobots are built to work in a human-friendly environment. Any unauthorised alteration to its security mechanisms could jeopardise this vital feature.
• Integrity — If a robot’s integrity is compromised, it is no longer suited for its intended purpose.
• Accuracy– Small malicious alterations to a robot’s accuracy could compromise product integrity, while big changes could harm the robot itself.

When the robot’s safety, integrity, and accuracy are compromised in virtually imperceptible ways, one of the most serious concerns arises. Before anyone discovers it, the robot could be operating in a vulnerable state for a long time.

There are five major destructions a cyber-attacker can cause through cobot hacking:

1. By altering the controller’s settings:

A hacker could alter a robot’s control parameters in a subtle way. This can slightly alter the robot’s route in a way that is virtually undetected, yet it affects the product’s integrity and results in a damaged or modified product.

2. Messing around with the calibration parameters:

A hacker might alter the robot’s calibration parameters, forcing it to go in unanticipated directions or deviate from its intended path. It harms the robot and/or may cause human injury.

3. Tampering with the logic of manufacturing:

A hacker could make subtle, nearly unnoticeable changes to the robot program, introducing faults into the products and interfering with the production line, resulting in defective or modified products.

4. Modifying or Altering the condition of the robot:

A hacker could change the robot’s condition to one that is dangerous. A hacker could overcome the security constraints of a collaborative robot in a way that is practically unnoticeable to the user, as IOActive demonstrated in 2017. It has the potential to cause human damage.

5. Changing the robot’s perceived state in the eyes of the user:

A hacker may make the robot appear to be in one state while actually being in another, leaving humans in the dark about what state it is in. This could be extremely dangerous for humans. For example, the controller could show that the robot is turned off while it is actually turned on and no security constraints have been specified.

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Total of 256 global autonomous mobile robot companies. Meet the top 10 AMR companies to watch in 2022

An autonomous mobile robot (AMR) is any robot that can understand and move through its environment without being overseen directly by an operator. AMRs differ from their predecessors, autonomous guided vehicles (AGVs), which rely on tracks or predefined paths and often require operator oversight. The first autonomous robot environment was known as Elmer and Elsie. AMRs come in several different varieties, which can help in Transporting products and freight within a facility, assisting in the picking process, etc. Thousands of new startups are founded every year – emerging companies with the potential to disrupt the robotics industry. To give you a head-start on emerging technologies and startups that will impact the various sectors in 2022. So here is the list of the top 10 autonomous mobile robot companies.

Skydio: Skydio is the leading US manufacturer of drones headquartered in Redwood City, California. It leverages breakthrough AI to create the world’s most intelligent flying machines for use by consumers, enterprised government customers. It made several improvements to the menus, improved signal quality during flight, optimized KeyFrame for faster speeds, custom button functions on the Enterprise Controller, and more.

Graphcore: Graphcore is a British semiconductor company that develops accelerators for AI and machine learning. It aims to make a massively parallel Intelligence Processing Unit (IPU) that holds the complete machine learning model inside the processor. The Graphcore IPU is going to be transformative across all industries and sectors with a real potential for positive societal impact from drug discovery and disaster recovery to decarbonization.

Neurala: Neurala leverages its proprietary AI platform to empower companies to automate visual inspections. Manufacturers around the world use Neurala VIA software to increase inspection rates and reduce product defects. Neurala is on a mission to help manufacturers improve their vision inspection process. Supply chain issues, labor shortages, and the risk of recalls are driving the need for more automation.

ANYbotics AG: ANYbotics is leading the way into the future of robot mobility and robot interaction. It provides solutions for robot applications with the most advanced mobility and autonomy requirements in challenging terrain and also provides autonomous-legged robots for industrial applications to provide high availability and reliability in automated routine inspections.

DJI: DJI is a Chinese technology company founded in 2006 by Frank Wang. It manufactures commercial and recreational unmanned aerial vehicles for aerial photography and videography. It is a global leader in developing and manufacturing civilian drones and aerial imaging technology for personal and professional use.

Burro: Burro is a Philadelphia-based robotics company building an autonomous platform designed to free growers and their workforce from tedious tasks while building the modular base for greater autonomy. They built a smarter farming system using a user-friendly, autonomous robot that works side-by-side with farmworkers to make agriculture more productive and sustainable.

MOV.AI: MOV.AI is a Robotics Engine platform (REP) based on ROS and packaged in an intuitive web-based interface. It contains everything needed to build, deploy and operate intelligent robots. MOV.AI completely changes the way Autonomous Mobile Robot is developed, in terms of time to market, cost and flexibility. Its REP provides AMR with everything they need to quickly build, deploy and operate enterprise-grade robots.

SLAMcore: SLAMcore develops industry-leading algorithms for robots and machines to understand where they are and what’s around them – in an affordable way. Delivering highly reliable positioning and mapping intelligence on low-power, cost-effective hardware.

Gideon: Gideon helps automatize and orchestrate the most complex industrial workflows with our scalable and easy-to-use intelligent material handling solutions powered by AI and 3D vision. Their visual autonomous mobile robots, built for unstructured, dynamic indoor and outdoor environments, quickly adapt to the realities of complex manufacturing or warehousing environments and labor variability without the need for infrastructure changes.

Fixposition AG: Fixposition’s combination of cutting-edge computer vision techniques and leading satellite navigation know-how allows us to develop products that provide ultra-reliable high-precision positioning. Their technology facilitates a wide variety of applications, such as off-road autonomous robot activities, industrial drone inspection, high-precision control of autonomous machines, and many other applications that require precise positioning.

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The rise of no-code platforms among enterprises indicates rising agility and productivity in business

Over the past couple of years, the advancement of technology has truly influenced humans adversely. Humans now have the ability to change society, the economy, and their industries and enhance operational efficiency and flexibility, and this has extensively driven the growth of low-code and no-code platforms to a great deal. No-code platforms provide the users with the ability to build an application without the need to write even a line of code utilizing a graphical interface, enabling them to drag and drop modular, reusable components to create their application. The extensive use of the best no-code platforms has empowered solutions-oriented employees to create useful applications without having any engineering or technical background. These low or no-code platforms can also be used to build artificial intelligence and robotics applications seamlessly. In this article, we have jotted down the best no-code platforms that can be effectively used to build robotics applications.

UiPath Apps

UiPath Apps is a low and no-code app builder that aims to deliver engaging experiences powered by automation. The platform’s App Studio enables the users to build visually appealing professionals apps quickly by only using a web browser through a rich library of drag-and-drop controls.

DataRobot

The DataRobot app builder is one of the best no-code platforms that can be used to build artificial intelligence and robotics applications. The platform allows the user to quickly turn any model into an AI or robotics application, without requiring any coding. This makes it much easier for business users and information workers to leverage predictions generated by their models and make informed, and tech-driven decisions.

Crowdbotics

Crowdbotics provides an easy, agile, and efficient no-code platform for building robotics applications for the web, iOS, and Android. Their expert developers can estimate, scope, build, test, and launch those applications. Also, the platform is quite well-known in the open-source domain and quite intelligently selects code packages that would be the best fit for the project.

Clarifai

Clarifai is a leading deep learning AI platform for computer vision, natural language processing, and automatic speech recognition. The platform focuses on helping enterprises and public sector organizations to transform unstructured images, video, texts, and audio data into structured data, significantly faster and more accurately than humans can do on their own.

PandaSuite

PandaSuite offers one of the most exciting and interactive no-code platforms for designing robotics and other applications. By using this platform, the users can add buttons, components, create animations, and build exciting interactive wireframes, apps, and prototypes.

ObviouslyAI

ObviouslyAI utilizes the state-of-art natural language processing systems to perform complex tasks on user-defined CSV data. This is one of the top no-code platforms that can be used efficiently to build robotics applications. The platform allows the users to integrate data from other sources, as well as from Salesforce, Redshift, and other related platforms.

Mendix

Mendix is a mobile low-code development platform that is intended for the designing and development of mobile applications. The platform specifically offers a no-code and low-code landscape that handles application development through a visual, model-driven environment, that enhances the speed and efficiency of the application development process.

Akkio

Akkio is an easy-to-use platform that enables users to supercharge regular marketing and financial tasks with the power of AI and robotics. Enterprise professionals using Akkio can train and deploy models in under 5 minutes, without the need of any consultants.

Microsoft Power Apps

Microsoft Power Apps helps its users to create apps rapidly that can solve challenges while renovating processes to increase business agility. They offer pre-built templates and a drag-and-drop feature so that they can start building robotics and other applications as quickly as possible. Hence, the team can opt for immediate deployment and perform business operations with agility.

Caspio

Caspio is another excellent option for building cloud applications without coding. The platform is highly suitable for building scalable, reliable, and secure online database apps. It empowers more than 15,000 customers on a global basis and helps optimize business workflows efficiently.

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“Close to 80 percent of the participants in India believe that admin work is an obstacle for them to do their main job,” said Milan Sheth, Executive Vice President India, Middle East & Africa, Automation Anywhere. This statement should strike a chord with many working-class people. This is the cost we need to pay for adopting modern technology only to bear with its perils. Or maybe we are about to be saved by the same technology which could make our work life more meaningful. Robotic Process Automation is here to make it happen, and particularly middle-order companies need it the most. Robotic Process Automation has many virtues under its belt to deliver the workforce from so-called not so important but urgent kinds of tasks.

What is RPA as a service?

Most companies outsource their routine tasks to cloud-based software robot which uses automation, machine learning, and computer vision. Companies that frequently deal in repetitive and high-volume tasks employ these services to make their day-to-day operations seamless and simultaneously upscale their business. It eventually helps in increasing profits without a proportional increase in costs.

Why Mid-Market enterprises should prefer RPA as a service?

Mid-market enterprises are basically crippled by resource crunch, shortage of skilled staff and competition from big companies which have heavy market presence. Robotic Process Automation can assist these companies to overcome these hurdles, if not completely solving them. Mid-level companies whose business proposition lies in innovation and optimal use of resources would find the flexibility that RPA as a service provides very beneficial. They do not have to purchase additional servers, licensing, or professional services. When companies are at the experimental stage, they might require services for time being, and purchasing them wouldn’t make sense. Subscribing to RPA as a service also means you make optimal use of resources, restricting the kind of tasks a robot can do and thereby enhancing ROIs.

Automate at the click of the mouse

Robotic Process Automation usually takes anywhere between 4 weeks to 12 weeks. Imagine the business has few immediate projects in hand and it wants to speed up the process using automation. The very purpose of automation would be defeated if it ends up taking weeks together just to set it up. RPA as a service, on the other hand, comes with a built-in mechanism, users can quickly put it into implementation without facing downtime.

Enhance Data Security

Security breaches are something mid-level companies would find taxing when they have an additional layer of automated robotics added to their technology stack. With RPA service provider, the client can get away with external security threats. They usually have a multi-layered approach to security. Apart from securing the data in the cloud, it is possible to design role-based data access management. This means data can be automated with the confidence that it is secure over the cloud not having to bother about monitoring data access credentials.

Prevent unwarranted lock-ins:

This is an interesting area in the realm of technology where companies end up depending on technologies they benefit from. There might be circumstances, wherein the custom applications, hardware, or software one buys becomes redundant for companies’ goals, and ironically companies have to put up with the idiosyncrasies of the products just because they are locked in. With RPA as a service users can totally avoid these circumstances as the RPA as service provider purchases the products while the end-user can simply enjoy the benefits at a minimal cost.

In a nutshell, adopting RPA SaaS is a win-win proposition for both companies and employees. As businesses progress, so do the employee attitudes towards work. Only when organizations can address their concerns, will they be able to make meaningful contributions toward the progress of the company. At least with RPA SaaS, you need not have to upgrade as a vast pool of updated knowledge is made available with these services.

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As we know, robotic eyes are quite different since they do not possess retinas, so to assist them in interacting with the world more effectively lies with the optical coherence tomography (OCT) devices that are commonly found in the ophthalmologist’s office. One of the most common eye imaging technologies that are included in most sensory packages is light detection and ranging, we also know it as LiDAR.

Autonomous car developers are exponentially investing in LiDAR technologies since it acts like radar, but instead of sending broad waves and looking for reflection, it uses short pulses of light from the lasers. But, using traditional forms of LiDAR technologies might be quite challenging since it requires detection of very weak reflected light signals, other LiDAR systems, sometimes, even mild sunlight can make the system sensitive. So, to tackle these challenges, researchers have turned to a different form of LiDAR technology known as the frequency-modulated continuous-wave LiDAR.

The FMCW LiDAR takes quite a similar approach but with its own distinctness. It is more advanced in its approach and can effectively distinguish between different frequencies and light sources. Integrating this technology into robots and autonomous cars can enhance their visionary capacities to a great extent.

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