Max Robotics — Global Service Robot Directory + US Certification

About

Sicheng Yang is a robotics researcher whose work pushes the boundaries of legged locomotion and dexterous manipulation. His key research areas include wheeled-legged robot design, deep reinforcement learning for manipulation, and real-time dynamic modeling. Yang’s most notable contribution is the development of **Max**, a wheeled-legged quadruped robot that combines the agility of legged systems with the energy efficiency of wheeled mobility, enabling fast, multimodal locomotion on varied terrain (34 citations). He has also advanced dexterous in-hand manipulation of slender cylindrical objects by integrating tactile sensing with deep reinforcement learning, achieving robust, real-time control (14 citations). Additionally, Yang developed a novel iterative primitive shape division method for real-time inertial parameter identification of floating-base robots, critical for accurate dynamic modeling (3 citations), and an online multi-phase trajectory generation approach for compliant landing control of quadrupeds, mitigating impact damage during aerial maneuvers (2 citations). His work on Max, in particular, represents a significant step toward practical, high-speed robots for real-world applications, demonstrating Yang’s impact on both hardware design and control algorithms.