Collaborative robot market has seen 40% growth in 2021 and by 2026 it will be worth US$2bn
Nvidia updating its robotics simulation tools announced it has included human elements in its new brigade of robots, to simulate human behavior in industrial environments. The cobots have come this far from being a fitting companion to demonstrating human qualities. In this context, it is worthwhile to understand what collaborative robots or cobots, as nicknamed by their parent company, Universal Robots. Ever since they were introduced into the market by Universal Robots in 2018, there is an exponential growth in their application. The cobot market growth has seen tremendous 40% growth in 2021 far exceeding its 2019 growth rate and by 2026 the entire cobot market will be worth US$2bn.
What are Collaborative Robots?
Collaborative robots, as the name suggests, collaborate with humans to assist them in specific tasks. They work alongside humans responding to human instructions and actions. Unlike autonomous robots which work behind cages with different safety measures in place, cobots work in the open without a safety infrastructure. They are known for their dexterity in doing tasks. Cobots are usually equipped with parts made of lightweight materials, round edges, special obstacle sensing features and more importantly, they need simple programming. They are diametrically opposite versions of industrial robots which are usually heavy in structure and require complex programming. Therefore, it is no surprise that different sectors are on the lookout for Cobot applications.
Why is there so Much Ado Around Cobots?
Collaborative robots are traditionally meant for assisting humans with manual work such as doing pick and place, packaging, quality inspection, and other operations. Now, consider the possibility if the service sector being adaptable to Cobots. Cobots and service sector? Definitely, it would sound like an impossibility. But it is a fact that new avenues like education and logistics are thrown open with advances in machine vision and machine learning technology. These sectors hold long-term opportunities for cobots with sure chances of making deep incursions. They will be typically areas where least human interaction and tasks that require higher speed and accuracy like the AI-enabled automotive industry. Nvidia’s recent development, making cobots simulate human behavior in certain settings, will only give the technology the required push in this direction.
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