Papers
3
Total Citations
21
H-Index
2
About
Fengyi Wang is a pioneering researcher at the intersection of robotics, neuromorphic computing, and autonomous manipulation. Their work focuses on three key areas: optimal motion planning for mobile manipulators, bio-inspired robotic reflexes, and neuromorphic haptic perception. Wang’s most cited paper, "Optimal Order Pick-and-Place of Objects in Cluttered Scene by a Mobile Manipulator" (2021, 14 citations), introduces a fast, autonomous planner that coordinates manipulator and mobile base movements to efficiently clear cluttered environments—a critical contribution to warehouse and service robotics. In a groundbreaking 2023 study (5 citations), Wang developed a bio-plausible spiking neural network to replicate the heat-evoked nociceptive withdrawal reflex in a humanoid robot’s upper limb, enabling robots to instinctively avoid noxious stimuli. Most recently (2024, 2 citations), Wang validated a novel method for object classification using neuromorphic proprioceptive signals from a soft anthropomorphic hand, advancing haptic perception for prosthetic and robotic hands. By bridging biological neural principles with robotic control, Wang is redefining how robots interact with dynamic, unstructured environments, with implications for safe human-robot collaboration and assistive technologies.
Research Focus
Key Achievements
Top Papers
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