Zha Xiang
Papers
1
Total Citations
4
H-Index
1
About
Zha Xiang is a researcher in robotics and human-robot interaction, with a focus on trajectory generation and energy optimization for robotic systems. His work addresses critical challenges in making robotic arms more efficient and safer for collaborative environments. In his notable 2019 paper, "Trajectory Deformation Based on Energy Optimization and Obstacle Avoidance," Zha introduced a novel approach that integrates energy consumption minimization with obstacle avoidance, while respecting the physical limits of robotic joints. This work stands out for its dual consideration of both human-robot interaction dynamics and energy efficiency, offering a practical solution for real-world applications. Although his citation count is modest, with 4 citations for this key paper, his contributions are foundational for researchers exploring energy-aware motion planning. Zha's research bridges the gap between theoretical optimization and practical robotic control, making his work relevant for students and engineers developing next-generation collaborative robots.
Research Focus
Key Achievements
Top Papers
- 1