A nonlinear momentum observer for sensorless robot collision detection under model uncertainties-Reference-Cited by-同舟云学术

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A nonlinear momentum observer for sensorless robot collision detection under model uncertainties

Published:2021-10 Issue: Volume:78 Page:102603
ISSN:0957-4158
Container-title:Mechatronics
language:en
Short-container-title:Mechatronics

Author:

Li Yi,Li Yanhui,Zhu Mingchao,Xu Zhenbang,Mu Deqiang

Funder

National Natural Science Foundation of China

Jilin Scientific and Technological Development Program

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference29 articles.

1. Survey on human–robot collaboration in industrial settings: safety, intuitive interfaces and applications;Villani;Mechatron,2018

2. Progress and prospects of the human–robot collaboration;Ajoudani;Auton Robo,2018

3. Collision detection for industrial collaborative robots: a deep learning approach;Heo;IEEE Robot Autom Lett,2019

4. A frequency domain approach for contact type distinction in human-robot collaboration;Kouris;IEEE Robot Autom Lett,2018

5. Model-based sensorless robot collision detection under model uncertainties with a fast dynamics identification;Cao;Int J Adv Robot Syst,2019

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1. Nonlinear dynamic model identification of robots: application to collision detection using a finite-time nonlinear momentum observer;Nonlinear Dynamics;2024-08-11

2. Sensorless robot collision detection based on fuzzy momentum observer;Transactions of the Institute of Measurement and Control;2024-07-31

3. Real-time collision detection based on external torque mutation suppression and time series analysis;Industrial Robot: the international journal of robotics research and application;2024-05-17

4. Adaptive collision detection algorithm design for six-axis industrial manipulator with accurate payload estimation;Transactions of the Institute of Measurement and Control;2024-04-17

5. Dynamic collision estimator for collaborative robots: A dynamic Bayesian network with Markov model for highly reliable collision detection;Robotics and Computer-Integrated Manufacturing;2024-04

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