Papers
10
Total Citations
77
H-Index
6
About
Yuhao Jiang is a robotics researcher whose work sits at the dynamic intersection of soft robotics, bio-inspired locomotion, and mechanical metamaterials. His research focuses on designing reconfigurable and adaptive robotic systems that harness the passive mechanics of soft and flexible structures to achieve sophisticated behaviors without complex control architectures. Jiang has made notable contributions to underwater robotics, demonstrating how curved beam mechanics and tunable stiffness can produce selectable swimming gaits that mimic animal locomotion — work that has garnered 20 citations and established him as a creative voice in bio-inspired design. His investigations into soft flexure hinges via pinched tubes and twisted beam vibration for walking robots reveal a consistent philosophy: embedding intelligence into material structure itself. This theme culminates in his co-authored review on metamaterial robotics, which frames mechanics-inspired microstructures as a unifying paradigm for sensing, actuation, and computation within robot bodies. Spanning underwater swimmers, terrestrial walkers, foldable manipulators, and origami robotic surfaces, Jiang's portfolio reflects both theoretical depth and experimental breadth. With over 75 cumulative citations across a relatively compact body of work, he represents an emerging researcher making meaningful strides toward adaptive, materials-driven robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Reconfigurable Soft Flexure Hinges via Pinched Tubes14 citations · 2020
- 3
- 4Metamaterial robotics9 citations · 2025
- 5Tunable Dynamic Walking via Soft Twisted Beam Vibration8 citations · 2023
- 6
- 7Robot Path Planning Based on Deep Reinforcement Learning4 citations · 2022
- 8Increasing the Life Span of Foldable Manipulators With Fabric2 citations · 2020
- 9
- 10CPG-Based Manipulation With Multi-Module Origami Robot Surface1 citations · 2025