Ruizhi Hou
Papers
2
Total Citations
5
H-Index
2
About
Ruizhi Hou is a leading researcher in autonomous humanoid robotics, with a primary focus on real-time perception, motion planning, and control for dynamic, adversarial environments. His most impactful work centers on the development of integrated hardware-software systems that enable humanoid robots to compete at the highest levels of autonomous soccer. Hou’s major contributions include pioneering the use of Model Predictive Control combined with visibility graphs for robust path planning and trajectory tracking, allowing humanoid robots to navigate and outmaneuver adversarial opponents. This work was instrumental in his team’s undefeated victory at the RoboCup 2024 Adult-Sized Humanoid League, where they scored 45 goals across six games to claim the championship. His 2025 paper detailing the champion’s hardware, vision, and strategy has already garnered significant attention, and his follow-up on MPC-based control is shaping the next generation of agile, autonomous humanoids. Hou’s achievements demonstrate a rare ability to translate complex control theory into winning, real-world robotic performance.
Research Focus
Key Achievements
Top Papers
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- 2