Qinggang Meng
Loughborough University, University of Wales, Aberystwyth University
Papers
40
Total Citations
867
H-Index
17
About
Qinggang Meng is a prominent researcher at the intersection of robotics, artificial intelligence, and autonomous systems, with particular expertise in multi-robot task allocation, developmental robotics, and trustworthy AI. Based at Loughborough University, Meng has made foundational contributions to how robots learn, coordinate, and earn human trust. His most influential work addresses distributed task scheduling in multi-robot systems, with his 2017 paper on time-constrained task rescheduling accumulating 146 citations — a testament to its practical significance for real-world deployments. Alongside this, his pioneering explorations of human-centered AI for trustworthy robots and autonomous systems (93 citations) have helped establish a systematic framework for understanding what makes autonomous systems reliable, robust, and safe. Meng's earlier research laid equally important groundwork: his developmental robotics work drew inspiration from cognitive psychology to model how robots can acquire skills progressively, mirroring human learning stages. His contributions to assistive robotics for the elderly further demonstrate a humanistic dimension to his engineering vision. Spanning motion planning, active learning, and human-robot interaction, Meng's body of work reflects a career dedicated to building robots that are not only capable but genuinely trustworthy partners in human environments.
Research Focus
Key Achievements
Top Papers
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- 3Design issues for assistive robotics for the elderly74 citations · 2006
- 4Staged Competence Learning in Developmental Robotics60 citations · 2007
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- 7Developmental learning for autonomous robots36 citations · 2007
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- 9A developmental approach to robotic pointing via human–robot interaction29 citations · 2014
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