3 papers
cs.RO2025
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
Haochen Wang, Zhiwei Shi, Chengxi Zhu +6
Learning-based methods, such as imitation learning (IL) and reinforcement learning (RL), can produce excel control policies over challenging agile robot tasks, such as sports robot…
cs.LG2025
A Universal Model Combining Differential Equations and Neural Networks for Ball Trajectory Prediction
Zhiwei Shi, Chengxi Zhu, Fan Yang +4
This paper presents a data driven universal ball trajectory prediction method integrated with physics equations. Existing methods are designed for specific ball types and struggle…
cs.CV2025
YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention
Yuan Lai, Zhiwei Shi, Chengxi Zhu
The 3D trajectory of a shuttlecock required for a badminton rally robot for human-robot competition demands real-time performance with high accuracy. However, the fast flight speed…