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Jul 2, 2021

An approach to achieve compliant robotic manipulation inspired by human adaptive control strategies

Posted by in category: robotics/AI

Over the past few decades, roboticists have created increasingly advanced and sophisticated robotics systems. While some of these systems are highly efficient and achieved remarkable results, they still perform far poorly than humans on several tasks, including those that involve grasping and manipulating objects.

Researchers from Guangdong University of Technology, Politecnico di Milano, University of Sussex and Bristol Robotics Laboratory (BRL) at University of the West of England have recently developed a that could help to improve manipulation. This model, presented in a paper published in IEEE Transactions on Industrial Informatics, draws inspiration from how humans adapt their manipulation strategies based on the task they are trying to complete.

“Humans have the remarkable ability to deal with and complete dynamic tasks, such as curving, cutting and assembly, optimally and compliantly,” Professor Chenguang Yang, the corresponding author for the paper working at BRL, told TechXplore. “Although these tasks are easy for humans, they are quite challenging for robots to perform, even advanced ones.”

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