Passivity-Based Skill Motion Learning in Stiffness-Adaptive Unified Force-Impedance Control

Author:

Karacan Kubra1,Sadeghian Hamid1,Kirschner Robin1,Haddadin Sami1

Affiliation:

1. Chair of Robotics and Systems Intelligence, MIRMI - Munich Institute of Robotics and Machine Intelligence, Technical University of Munich,Germany

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Inherent Representation of Tactile Manipulation Using Unified Force-Impedance Control;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Adaptive Tuning of Robotic Polishing Skills based on Force Feedback Model;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

3. Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-Objective Bayesian Optimization with Priors;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Human-Robot Collaboration for Unknown Flexible Surface Exploration and Treatment Based on Mesh Iterative Learning Control;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. Von Industrie 4.0 zu Industrie 5.0 – Idee, Konzept und Wahrnehmung;HMD Praxis der Wirtschaftsinformatik;2023-08-24

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