Max Robotics — Global Service Robot Directory + US Certification

About

Shangqun Yu is a robotics researcher advancing the frontier of dynamic and agile locomotion for humanoid robots. His work sits at the intersection of biomechanics, reinforcement learning, and whole-body control, with a focus on enabling robots to move with human-like fluidity across complex, discrete terrains. Yu’s most influential work, "Learning Generic and Dynamic Locomotion of Humanoids Across Discrete Terrains" (2024, 6 citations), tackles the long-standing challenge of terrain-adaptive motion, bridging the gap between optimization-based methods and reinforcement learning. He is also the lead designer of StaccaToe (2024, 4 citations), a human-scale single-leg robot featuring an actuated toe and co-actuation inspired by human anatomy—a platform that directly mimics the agility of the human leg. Yu’s contributions extend to collision-free locomotion through the integration of Riemannian Motion Policy with whole-body control (2023, 3 citations), and to dynamic sports motions, as seen in his biomechanics-inspired approach to soccer kicking for humanoids (2024, 2 citations). His earlier work on meta-learning parameterized skills (2022, 2 citations) demonstrates a commitment to scalable, transferable skill acquisition. With a growing citation footprint and a design philosophy rooted in biological inspiration, Yu is shaping the next generation of robots that can walk, run, and kick with unprecedented grace and adaptability.