Haoxiang Cao

Beijing Institute of Technology, Ministry of Education of the People's Republic of China

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About

Haoxiang Cao is a robotics researcher whose work focuses on the practical challenges of miniature and legged robots, particularly in the areas of autonomous navigation, map building, and active compliance. His research addresses the fundamental trade-off between a robot’s size and its perceptual capabilities, seeking to enable robust autonomy despite severe hardware constraints. Cao’s most cited work, “Low-cost map building and obstacle avoidance of miniature reconnaissance robot” (6 citations), introduces a method that uses low-cost infrared sensors and an MPU6050 to build local maps for obstacle avoidance, a critical contribution for small-scale reconnaissance platforms. He has also explored 3D map building for mobile robots, aiming to overcome the computational complexity and time-consuming nature of existing approaches, and investigated navigation strategies for outdoor miniature robots. In the domain of legged locomotion, Cao has studied single hydraulic actuator active compliance for quadruped robots. His research is notable for its focus on practical, low-cost solutions that push the boundaries of what miniature and field robots can achieve in real-world, unstructured environments.