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Main Authors: Zhao, Yuxuan, Tang, Yuanchen, Zhang, Jindi, Yu, Hongyu
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.07720
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author Zhao, Yuxuan
Tang, Yuanchen
Zhang, Jindi
Yu, Hongyu
author_facet Zhao, Yuxuan
Tang, Yuanchen
Zhang, Jindi
Yu, Hongyu
contents Robot learning empowers the robot system with human brain-like intelligence to autonomously acquire and adapt skills through experience, enhancing flexibility and adaptability in various environments. Aimed at achieving a similar level of capability in large language models (LLMs) for embodied intelligence, data quality plays a crucial role in training a foundational model with diverse robot skills. In this study, we investigate the collection of data for manipulation tasks using teleoperation devices. Different devices yield varying effects when paired with corresponding controller strategies, including position-based inverse kinematic (IK) control, torque-based inverse dynamic (ID) control, and optimization-based compliant control. Analysis of experimental results suggests the importance of the relationship between teleoperation devices and controllers for real tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2511_07720
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Empowering Robot Teleoperation: Exploring the Synergies Between Devices and Manipulator Controllers in a Comparative Study
Zhao, Yuxuan
Tang, Yuanchen
Zhang, Jindi
Yu, Hongyu
Robotics
Robot learning empowers the robot system with human brain-like intelligence to autonomously acquire and adapt skills through experience, enhancing flexibility and adaptability in various environments. Aimed at achieving a similar level of capability in large language models (LLMs) for embodied intelligence, data quality plays a crucial role in training a foundational model with diverse robot skills. In this study, we investigate the collection of data for manipulation tasks using teleoperation devices. Different devices yield varying effects when paired with corresponding controller strategies, including position-based inverse kinematic (IK) control, torque-based inverse dynamic (ID) control, and optimization-based compliant control. Analysis of experimental results suggests the importance of the relationship between teleoperation devices and controllers for real tasks.
title Empowering Robot Teleoperation: Exploring the Synergies Between Devices and Manipulator Controllers in a Comparative Study
topic Robotics
url https://arxiv.org/abs/2511.07720