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About

Zheng-Hao Chong is a robotics researcher whose work spans warehouse automation, humanoid manipulation, and autonomous navigation. His most impactful contributions center on robotic grasping and item picking for e-commerce fulfillment, where he has developed robust, practical systems for real-world deployment. His 2018 paper on a robust robot design for the Amazon Robotics Challenge, with 30 citations, demonstrates his ability to engineer reliable solutions for complex pick-and-place tasks under competition constraints. Chong also pioneered autonomous manipulation with humanoid robots, including wall cutting and valve turning using an Atlas robot, achieving 8 citations each for these works that integrated vision, motion planning, and compliant control. His research extends to warehouse logistics with a modular stowing strategy for automated storage and retrieval systems, and he has explored sensor fusion for micro soccer robots and autonomous driving decision-making. With a total of over 80 citations across his publications, Chong’s work is characterized by a focus on system-level integration—combining perception, planning, and control—to create robots that operate autonomously in unstructured environments, making him a notable contributor to both industrial robotics and humanoid research.