2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2025
Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency
Liang Qin, Weiwei Wan, Jun Takahashi +3
This work proposes a learning method to accelerate robotic pick-and-place planning by predicting shared grasps. Shared grasps are defined as grasp poses feasible to both the initia…
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
Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis
Hao Chen, Weiwei Wan, Masaki Matsushita +2
Deep learning methods have recently exhibited impressive performance in object detection. However, such methods needed much training data to achieve high recognition accuracy, whic…