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About

Shihao Hu is a robotics researcher whose work sits at the dynamic intersection of bioinspired design, amphibious robotics, and reinforcement learning-based locomotion control. Drawing heavily from biological observation — particularly the remarkable amphibious agility of the swimming crab *Portunus* — Hu has made significant contributions to the design and implementation of robots capable of seamlessly transitioning between terrestrial and aquatic environments. His foundational studies on bionic crab robots, which have collectively garnered nearly 50 citations, explore leg mechanism design, hydrodynamic properties, and coupled foot-paddle motion to achieve multi-modal movement in complex, unstructured terrains including shallow water and seabed environments. Beyond hardware innovation, Hu has demonstrated considerable depth in learned locomotion for legged systems. His work on Distributional Ensemble Actor-Critic and Curricular Hindsight Reinforcement Learning addresses critical challenges such as sim-to-real transfer, dynamic fall recovery, and agile maneuvering in the wild — research that has attracted growing attention with over 28 combined citations. His study on vortex suction cups for underwater inspection robots further reflects the breadth of his applied robotics expertise. Across his career, Hu has emerged as a compelling voice in next-generation adaptive robot locomotion.