Weixuan Zhang
Papers
1
Total Citations
34
H-Index
1
About
Weixuan Zhang is a leading researcher in aerial robotics and physical human-robot interaction, with a focus on enabling autonomous systems to operate safely and adaptively in contact-rich environments. His work centers on variable impedance control, tactile and proprioceptive sensing, and learning-based methods for aerial manipulation. Zhang’s most-cited paper, “Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing” (2022, 34 citations), introduces a novel framework that allows aerial vehicles to perform contact-based inspection tasks on uncertain, uneven surfaces. This contribution addresses a critical challenge in deploying drones for real-world industrial inspection, where surfaces vary unpredictably. By integrating learning from physical interaction and multimodal sensing, Zhang’s approach enhances the robustness and adaptability of aerial robots. His work has significant implications for infrastructure monitoring, search-and-rescue, and maintenance in hard-to-reach environments. Zhang’s research is recognized for bridging the gap between theoretical control and practical deployment, making him a rising figure in the field of aerial physical interaction and embodied intelligence.
Research Focus
Key Achievements
Top Papers
- 1