2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2024★ 2 cited
Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning
Hao Chen, Weiwei Wan, Masaki Matsushita +2
A combined task-level reinforcement learning and motion planning framework is proposed in this paper to address a multi-class in-rack test tube rearrangement problem. At the task l…
cs.CV2023
In-Rack Test Tube Pose Estimation Using RGB-D Data
Hao Chen, Weiwei Wan, Masaki Matsushita +2
Accurate robotic manipulation of test tubes in biology and medical industries is becoming increasingly important to address workforce shortages and improve worker safety. The detec…