Papers
3
Total Citations
12
H-Index
2
About
Yejia Wu is pioneering the intersection of soft robotics and wearable sensing, with a focus on creating intelligent, bio-inspired systems for human-machine interaction and autonomous exploration. Their research spans two key areas: non-invasive ultrasonic interfaces and high-speed micro-robotic locomotion. In a standout 2025 work, Wu introduced multiple flexible ultrasonic patches that synchronously recognize hand gestures and monitor arm joint angles—enabling intuitive prosthetic control without bulky hardware. This innovation, already garnering 6 citations, promises to transform assistive technology and HMI. On the robotics side, Wu developed a high-speed micro crawling robot that cancels residual electroadhesion using a reversal polarity method (2024, 4 citations), solving a critical challenge in soft robot mobility. Most recently, their inchworm-inspired micro flexible robot (2025, 2 citations) achieves rapid, terrain-adaptive movement with integrated motion sensing for autonomous exploration. By combining advanced actuation, adhesion control, and sensing in compact form factors, Wu is advancing the frontier of soft robotics—creating machines that are not only fast and adaptable but also capable of seamless interaction with human users.
Research Focus
Key Achievements
Top Papers
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