Junchao Ma

University of Southern California

Papers

3

Total Citations

21

H-Index

2

About

Junchao Ma is a robotics researcher specializing in legged locomotion, whole-body control, and robotic manipulation, with a particular focus on advancing the capabilities of quadrupedal and wheel-legged robotic systems. His work sits at the intersection of control theory, mechanical design, and autonomous navigation, tackling some of the most challenging problems in mobile robotics. Ma's most notable contribution is his development of a novel pose optimization and force-based control framework using quadratic programming (QP) for wheel-legged quadrupedal robots. Published in 2022 and garnering 17 citations, this work enables robots to dynamically leverage whole-body motion and wheel actuation to navigate and roll over high obstacles — a significant step forward in robust terrain traversal. An earlier 2021 iteration of this framework laid the theoretical groundwork for handling uneven terrain while maintaining wheel traction and robot balance. More recently, Ma has extended his research into loco-manipulation, exploring the co-optimization of design and control for quadrupedal robots equipped with fully articulated robotic arms. This emerging direction holds exciting potential for real-world applications such as industrial inspection and autonomous intervention tasks, positioning Ma as a forward-thinking contributor to the next generation of versatile, field-deployable robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Balancing Control and Pose Optimization for wheel-legged Robots Navigating High Obstacles
17 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Southern California

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago