Papers

16

Total Citations

172

H-Index

8

About

Xiaolei Hou is a robotics researcher specializing in haptic teleoperation, aerial robotics, and human-robot interaction, with notable extensions into autonomous navigation and quadruped robot motion planning. His most influential contributions center on advancing the control and perception of remotely operated vertical takeoff and landing (VTOL) aerial vehicles in complex, cluttered environments. Hou's pioneering work on the *dynamic kinesthetic boundary* — a novel constraint projected into a haptic joystick's workspace — has earned widespread recognition, with two foundational papers each accumulating 32 citations, establishing him as a key voice in the haptic teleoperation community. His research systematically addresses how force feedback can meaningfully convey vehicle dynamics and environmental spatial cues to remote pilots, improving safety and situational awareness. Beyond teleoperation, Hou has expanded his research scope to include semi-autonomous shared control frameworks, GNSS-denied autonomous navigation for search and rescue applications, and hybrid optimization algorithms for quadruped robot trajectory planning. With over 150 cumulative citations across his published works, his research bridges theoretical haptic interface design and practical aerial robotics deployment, making his contributions highly relevant to students and engineers working at the intersection of human-robot teaming and autonomous systems.

Research Focus

Key Achievements

8
H-Index
16
Papers
172
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Kinesthetic Boundary for Haptic Teleoperation of VTOL Aerial Robots in Complex Environments
32 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Australian National University, Northwestern Polytechnical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago