Max Robotics — Global Service Robot Directory + US Certification

About

Haixin Cao is an emerging robotics researcher whose work centers on the dynamics, planning, and control of wheeled bipedal robots — a cutting-edge class of systems that elegantly fuses the speed efficiency of wheeled locomotion with the terrain adaptability of legged robots. Cao's research addresses some of the field's most demanding technical challenges, including balance control, underactuation, and dynamic motion planning for inherently unstable platforms. Among Cao's most recognized contributions is the development of Model Predictive Control (MPC)-based balance strategies for wheeled bipedal robots, which has garnered 14 citations since 2022, reflecting strong community interest. Complementing this, Cao has advanced robust sliding mode control techniques to handle system uncertainties, and pioneered planning and control frameworks enabling complex athletic behaviors — including running, jumping, and even somersaulting maneuvers — using remarkably compact, four-motor robot designs. Collectively accumulating over 36 citations across five publications within just a few years, Cao's work demonstrates a clear trajectory toward high-impact contributions in mobile robotics. For students and researchers interested in legged locomotion, nonlinear control, or agile robot design, Cao's portfolio offers both rigorous methodology and inspiring demonstrations of what lightweight robotic platforms can achieve.