Guoping Pan

University Town of Shenzhen, Tsinghua University

Papers

3

Total Citations

42

H-Index

3

About

Guoping Pan is a leading researcher in robotics, specializing in visuotactile sensing, legged locomotion, and whole-body loco-manipulation. His work bridges the gap between robotic perception and physical interaction, enabling machines to operate with unprecedented dexterity and autonomy. Pan’s most notable contribution is the development of the M³Tac sensor, a multispectral multimodal visuotactile system that surpasses human sensory capabilities, allowing robots to perceive texture, temperature, and force simultaneously—a breakthrough for precise manipulation in unstructured environments. This work has already garnered significant attention, with 19 citations shortly after publication. In parallel, Pan addresses the challenge of autonomous navigation with his research on quadruped robots traversing 3D complex environments under limited perception, demonstrating robust locomotion in low-visibility conditions like dense forests or nighttime operations. His latest framework, RoboDuet, introduces a cooperative policy for whole-body legged loco-manipulation, enabling a quadruped robot with a robotic arm to coordinate all degrees of freedom for tasks like object handling and terrain interaction. With these contributions, Pan is shaping the future of adaptive, sensor-rich robotic systems that can operate safely and effectively in real-world settings.

Research Focus

Key Achievements

3
H-Index
3
Papers
42
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
M$^{3}$Tac: A Multispectral Multimodal Visuotactile Sensor With Beyond-Human Sensory Capabilities
19 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University Town of Shenzhen, Tsinghua University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago