Peixuan Hu

Beijing Institute of Technology

Papers

1

Total Citations

3

H-Index

1

About

Dr. Peixuan Hu is at the forefront of advancing human-robot interaction, with a primary focus on teleoperation and haptic feedback systems. Their most-cited work, "A Novel Hand Teleoperation Method with Force and Vibrotactile Feedback Based on Dynamic Compliant Primitives Controller" (2025), addresses a critical gap in the field: the lack of operator immersion and compliance during robotic grasping in hazardous environments. By integrating force and vibrotactile feedback with a dynamic compliant primitives controller, Dr. Hu’s method enables more intuitive, adaptive, and safe manipulation of objects, significantly enhancing operator presence and control. This contribution has already garnered 3 citations, reflecting its early impact on the teleoperation community. Dr. Hu’s research is particularly notable for bridging the gap between human dexterity and robotic precision, with potential applications in disaster response, remote surgery, and industrial automation. Their work underscores a commitment to making robots more responsive and human-like in complex tasks, paving the way for safer and more effective human-robot collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Hand Teleoperation Method with Force and Vibrotactile Feedback Based on Dynamic Compliant Primitives Controller
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago