Robotics & Machine Learning Daily News2024,Issue(Mar.8) :53-54.

Nanjing University of Aeronautics and Astronautics Reports Findings in Robotics (Computational design of ultra-robust strain sensors for soft robot perception a nd autonomy)

Robotics & Machine Learning Daily News2024,Issue(Mar.8) :53-54.

Nanjing University of Aeronautics and Astronautics Reports Findings in Robotics (Computational design of ultra-robust strain sensors for soft robot perception a nd autonomy)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating in Nanjing, People's Repu blic of China, by NewsRx journalists, research stated, "Compliant strain sensors are crucial for soft robots' perception and autonomy. However, their deformable bodies and dynamic actuation pose challenges in predictive sensor manufacturing and long-term robustness." The news reporters obtained a quote from the research from the Nanjing Universit y of Aeronautics and Astronautics, "This necessitates accurate sensor modelling and well-controlled sensor structural changes under strain. Here, we present a c omputational sensor design featuring a programmed crack array within micro-crump les strategy. By controlling the user-defined structure, the sensing performance becomes highly tunable and can be accurately modelled by physical models. Moreo ver, they maintain robust responsiveness under various demanding conditions incl uding noise interruptions (50% strain), intermittent cyclic loadin gs (100,000 cycles), and dynamic frequencies (0-23 Hz), satisfying soft robots o f diverse scaling from macro to micro. Finally, machine intelligence is applied to a sensor-integrated origami robot, enabling robotic trajectory prediction (<4% error) and topographical altitude awareness (<10% error)."

Key words

Nanjing/People's Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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