Papers
5
Total Citations
57
H-Index
4
About
Xiaoping Zhang is a pioneering robotics researcher whose work bridges the gap between human–robot interaction and adaptive locomotion. Her key research areas include legged robot motion planning, gesture-based human–computer cooperation, and creative robotics for music and cooking. Zhang’s major contributions span multiple frontiers: she developed a novel foot trajectory planning method for hexapod robots that significantly improves adaptability to slopes and obstacles (21 citations), and proposed a modified Yolov5s architecture for real-time gesture recognition in cooperative tasks (13 citations). Her most notable achievement is a groundbreaking system for human–robot cooperative piano playing, which uses learning-based real-time music accompaniment to solve the complex challenges of motor coordination and temporal synchronization (11 citations). Zhang has also advanced the vision of practical robotic chefs by structuring design and benchmarking rules for cooking automation (9 citations), and combined deep reinforcement learning with bio-inspired rhythm controllers for adaptive quadruped locomotion (3 citations). Her work consistently pushes the boundaries of what robots can achieve in dynamic, unstructured environments, making her a leading voice in the next generation of collaborative and creative robotics.
Research Focus
Key Achievements
Top Papers
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- 2Gesture recognition based on modified Yolov5s13 citations · 2022
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