Hao Ji

University of Science and Technology of China, University of California, Berkeley

Papers

Total Citations

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About

Hao Ji is a robotics researcher whose work spans cable-driven parallel robots (CDPRs), tensegrity structures, and advanced control systems. His research tackles some of the most challenging problems in modern robotics: how to make flexible, underactuated robotic systems perform reliably despite inherent model uncertainties and complex structural dynamics. Ji's most influential contribution, "Adaptive Synchronization Control of Cable-Driven Parallel Robots With Uncertain Kinematics and Dynamics" (2020, 49 citations), addresses the critical challenge of coordinating multiple cables in CDPRs while compensating for kinematic and dynamic uncertainty — a problem that has long limited the practical deployment of these highly versatile robotic platforms. His complementary work on adaptive control of 3-DOF CDPRs further refines these methods by simultaneously managing tension constraints across multiple cables. Beyond cable robotics, Ji contributed meaningfully to the field of bio-inspired design through his work on the ULTRA Spine tensegrity robot (2015, 41 citations), helping lay the mechanical and simulation groundwork for compliant, lightweight robotic spines intended for quadruped locomotion. Together, these contributions demonstrate Ji's consistent focus on bridging theoretical control design with practical mechanical innovation, making him a notable voice in the next generation of flexible, adaptive robotic systems.