Papers
123
Total Citations
3,585
H-Index
31
About
Weihua Sheng is a prominent robotics and intelligent systems researcher whose work spans human-robot interaction, multi-robot coordination, infrastructure inspection, and smart home technologies. His research has profoundly shaped how autonomous systems assist vulnerable populations and maintain critical infrastructure, with his ten most-cited papers collectively accumulating over 1,550 citations. Sheng's foundational contributions include pioneering wearable sensor-based activity and gesture recognition systems for robot-assisted elderly care, with his 2011 study garnering 232 citations and his 2009 multi-sensor fusion work attracting 135. His RiSH smart home platform (178 citations) exemplifies his vision of seamlessly integrating robotics into daily living environments. Equally notable is his sustained focus on infrastructure maintenance — his robotic bridge deck crack inspection systems (201 and 124 citations respectively) replaced subjective human assessments with automated, accurate mapping, while a 2023 lightweight deep learning crack detection network demonstrates his continued innovation in this domain. Beyond assistive technology, Sheng has advanced multi-robot cooperation through distributed area exploration (221 citations) and reinforcement learning-based predator avoidance (144 citations). His early work on automated spray painting trajectory planning for automotive manufacturing further underscores the remarkable breadth of his contributions, establishing him as a versatile and enduring force in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Distributed multi-robot coordination in area exploration221 citations · 2006
- 3A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance201 citations · 2014
- 4RiSH: A robot-integrated smart home for elderly care178 citations · 2017
- 5Multirobot Cooperative Learning for Predator Avoidance144 citations · 2014
- 6A lightweight encoder–decoder network for automatic pavement crack detection144 citations · 2023
- 7
- 8Developing a crack inspection robot for bridge maintenance124 citations · 2011
- 9
- 10