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Feedforward systems

Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks

January 31, 2023 by Zhenyu Lu

This article presents a novel biomimetic force and impedance adaption framework based on the broad learning system (BLS) for robot control in stable and unstable environments. Different from iterative learning control, the adaptation process is realized by a neural network (NN)-based framework, similar to a BLS, to realize a varying learning rate for feedforward force and … [Read more...] about Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks

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IEEE Robotics & Automation Magazine (RAM) has over 14,000 readers who are the people who drive this remarkable technology. More than half work in basic research and many of the others are top level engineers and decision-makers in industry.  This magazine highlights new concepts in Robotics and Automation that are applied to real-world systems. It delivers tutorial and survey papers by distinguished experts in the field, organizes focused special issues on hot topics, and provides a forum for disseminating and discussing emerging trends, novel achievements, and selected news relevant to the development of the whole community active in these fields worldwide.

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IEEE Robotics & Automation Magazine  publishes four issues per year: March, June, September and December.