About

Bowen Hou is a robotics researcher whose work centers on legged locomotion, with a particular focus on quadruped and bipedal robots. His key contributions lie in advancing motion control frameworks, most notably through the application of Virtual Model Control (VMC) to achieve dynamic balance and trajectory tracking in quadruped robots—a body of work that has garnered over 60 citations collectively. Hou has also pioneered the use of fractional order impedance control, a novel approach that extends traditional integer-order models to improve contact force reduction and tracking accuracy in robotic manipulators. His research extends to compliance control for hydraulic legs, combining active and passive elements to enhance robotic adaptability. Additionally, Hou has explored human walking dynamics to inform biped robot control, using motion capture data to derive simplified models. His most cited paper, "Virtual Model Control for Quadruped Robots" (2020, 52 citations), stands as a cornerstone of his impact, demonstrating how virtual components can generate real-world forces for stable locomotion. Through these innovations, Hou is shaping the future of agile, compliant robotic systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
98
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Virtual Model Control for Quadruped Robots
52 citations · 2020
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Beijing Jiaotong University, Shanghai Tunnel Engineering Rail Transit Design & Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago