most citedRoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment

4 citations · 4 across the 2 of their papers we have counts for

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cs.RO2024

Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller

Mingxin Yu, Chenning Yu, M-Mahdi Naddaf-Sh +3

Sampling-based motion planning methods for manipulators in crowded environments often suffer from expensive collision checking and high sampling complexity, which make them difficu…

cs.RO2021★ 4 cited

RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment

Mingxin Yu, Lin Shao, Zhehuan Chen +4

Part assembly is a typical but challenging task in robotics, where robots assemble a set of individual parts into a complete shape. In this paper, we develop a robotic assembly sim…