Yikai Wang
Papers
2
Total Citations
8
H-Index
2
About
Yikai Wang is a robotics researcher whose work centers on tactile simulation, safe locomotion, and resilient control for legged systems. His key contributions include pioneering the use of elastic interaction models for robotic tactile simulation, enabling more realistic virtual sensing for manipulation tasks. This work, published in 2020, has garnered 5 citations and addresses the critical challenge of bridging simulation-to-reality gaps in tactile perception. More recently, Wang has focused on active safety mechanisms for quadrupedal robots, introducing a framework for "Guardians as You Fall" that enables active mode transitions to mitigate damage during falls. This 2024 paper, with 3 citations, tackles the pressing need for stability and resiliency in agile locomotion, offering a novel approach to prevent catastrophic failures. Wang’s research is notable for its practical impact on robotic safety and perception, blending theoretical modeling with real-world deployment considerations. His work is particularly relevant for students and researchers interested in tactile sensing, reinforcement learning, and robust control for dynamic robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Elastic Interaction of Particles for Robotic Tactile Simulation5 citations · 2020
- 2Guardians as You Fall: Active Mode Transition for Safe Falling3 citations · 2024