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About

Yunsong Hao is a rising roboticist whose research centers on the dynamic control and motion planning of underactuated wheeled bipedal robots—machines that combine the efficiency of wheels with the agility of legs. His work tackles the fundamental challenge of achieving stable, high-performance locomotion in systems that are inherently unstable and underactuated. Hao’s major contributions include the development of robust sliding mode control strategies for wheeled bipedal robots, enabling them to maintain balance and execute complex maneuvers. He has also pioneered run-and-jump planning and control schemes for compact two-wheeled legged robots, demonstrating that a robot with just four motors can achieve both running and jumping—a feat that requires careful management of dynamic constraints and energy efficiency. His most-cited papers, including "Robust motion control for an underactuated wheeled bipedal robot utilizing sliding mode strategy" and "Run-and-jump Planning and Control of a Compact Two-wheeled Legged Robot," have each garnered 9 citations, reflecting growing interest in his innovative approaches. Hao’s work is notable for pushing the boundaries of what lightweight, energy-efficient legged robots can accomplish, with potential applications in search-and-rescue, exploration, and urban mobility.