Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks
Yunlei Shi, Zhaopeng Chen, Lin Cong, Yansong Wu, Martin Craiu-Muller,, Chengjie Yuan, Chunyang Chang, Lei Zhang, Jianwei Zhang

TL;DR
This paper introduces a novel pushing-based hybrid position/force assembly skill that actively maximizes environmental constraints during contact-rich tasks, significantly improving success rates in robotic assembly.
Contribution
It presents the first method to incorporate pushing actions during assembly tasks to enhance environmental constraint utilization, demonstrating its effectiveness with mobile manipulators.
Findings
Achieved 100% success rate in assembly tasks
Proved the skill maximizes environmental constraints
First to incorporate pushing actions during assembly
Abstract
The need for contact-rich tasks is rapidly growing in modern manufacturing settings. However, few traditional robotic assembly skills consider environmental constraints during task execution, and most of them use these constraints as termination conditions. In this study, we present a pushing-based hybrid position/force assembly skill that can maximize environmental constraints during task execution. To the best of our knowledge, this is the first work that considers using pushing actions during the execution of the assembly tasks. We have proved that our skill can maximize the utilization of environmental constraints using mobile manipulator system assembly task experiments, and achieve a 100\% success rate in the executions.
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Taxonomy
TopicsRobot Manipulation and Learning · Teleoperation and Haptic Systems · Manufacturing Process and Optimization
