Papers
29
Total Citations
692
H-Index
10
About
Weijia Zhou is a pioneering researcher at the intersection of intelligent robotics, bionic sensing, and advanced manufacturing. His work centers on developing artificial-intelligence-driven tactile sensing systems that mimic human skin, enabling robots to perceive pressure, temperature, and texture with unprecedented precision. Zhou's most influential contribution is his 2022 paper on "Perception‐to‐Cognition Tactile Sensing Based on Artificial‐Intelligence‐Motivated Human Full‐Skin Bionic Electronic Skin," which has garnered over 411 citations—a testament to its transformative impact on the field of electronic skin. He has also advanced human-like sensor and actuator applications using MXenes, a class of 2D materials, and pioneered a labor-division cooperation electronic palm system for crosstalk-free cognition of pressure and temperature. Beyond sensing, Zhou has contributed to semantic mapping for mobile robots, robot obstacle avoidance learning, and swarm robotic control architectures. His recent work on laser-assisted manufacturing for sensors promises to enable cost-effective, customized sensor fabrication. With a portfolio spanning over 400 citations across his top papers, Zhou is driving the evolution of intelligent, human-like robotic systems that can sense, think, and interact with their environment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Applications of MXenes in human-like sensors and actuators56 citations · 2022
- 3Semantic Mapping for Mobile Robots in Indoor Scenes: A Survey27 citations · 2021
- 4Design optimization of the ram structure of friction stir welding robot24 citations · 2019
- 5Laser-assisted manufacturing for sensors20 citations · 2025
- 6
- 7Robot Obstacle Avoidance Learning Based on Mixture Models13 citations · 2016
- 8
- 9A Plane Extraction Approach in Inverse Depth Images Based on Region-Growing12 citations · 2021
- 10Task-oriented hierarchical control architecture for swarm robotic system10 citations · 2016