A Planning Framework for Robotic Insertion Tasks via Hydroelastic Contact Model
Robotic contact-rich insertion tasks present a significant challenge for motion planning due to the complex force interaction between robots and objects. Although many learning-based methods have shown success in contact tasks, most methods need sampling or exploring to gather sufficient experimenta...
Main Authors: | Lin Yang, Mohammad Zaidi Ariffin, Baichuan Lou, Chen Lv, Domenico Campolo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/11/7/741 |
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