White paper: Adaptive robots and the future of industrial automation

August 30, 2019 //By Rich Pell
White paper: Adaptive robots and the future of industrial automation
Robotics and AI company Flexiv (Santa Clara, CA) has released a white paper that reviews the status quo of industrial robots and investigates the potential impact of new technologies.

In the white paper, says the company, it forecasts a future in which adaptive robots will revolutionize the world of industrial automation. Such adaptive robots will exhibit high tolerability of position variance, great disturbance rejection, and transferrable intelligence across different tasks allowing them to accomplish complex tasks and accommodate complex environments.

The white paper - ' Adaptive Robots and the Future of Industrial Automation ' - outlines the progress from the first industrial robots of the 1990s, ideal for tasks involving repeated trajectories, to that of the collaborative robots (or 'cobot'), integrated with safety features able to protect humans from hazards in the environment. Both kinds of robots face challenges being able to handle sophisticated tasks that require fine manipulation with "hand-eye coordination," or to adapt to non-ideal conditions commonly existing in manufacturing lines.

The adaptive robots that the company is developing combine force control, computer vision, and AI to enable more complex tasks, and what is claimed to be an unprecedented level of adaptability – across multiple tasks and a wide variety of workplaces, and in complex environments. Such a powerful level of adaptivity, says the company, offers operators sizeable cost benefits not only from simplified setup and robustness, but from consistency of performance, increased flexibility, simpler production lines, and the redundancy of additional safety measures, equipment, or programming upgrades.

The white paper points out two key factors crucial to achieving adaptivity: force control technology with high accuracy and fast response; and 'hierarchical intelligence.' The force control methodology that the company has developed to accommodate the needs of its robots' force-guided tasks differs from that of traditional force control, says the company, resulting in unprecedented levels of performance in accuracy and response.

'Hierarchical intelligence' refers to a hierarchical structure of the robotic system, in which different layers of intelligence (recognition, movement, force application, etc.) are relatively independent, so that a robot can perform tasks like a human. Compared with


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