Ali Noormohammadi-Asl
Amirkabir University of Technology, University of Waterloo, K.N.Toosi University of Technology
Papers
10
Total Citations
125
H-Index
5
About
Ali Noormohammadi-Asl is a robotics researcher whose work spans mobile robot control, motion planning, and human-robot collaboration. His early contributions focused on autonomous mobile systems, most notably his 2013 work on leader-follower formation control using the Asexual Reproduction Optimization algorithm, which has accumulated 63 citations and established him as a contributor to swarm and multi-robot coordination. He further explored motion planning under uncertainty, addressing belief-space planning and UAV path planning with model uncertainty considerations. In recent years, Noormohammadi-Asl has pivoted toward the increasingly critical domain of human-robot collaboration, investigating how robots can adaptively assume leader or follower roles based on human preferences and performance. His research addresses both the practical challenge of optimal task allocation and the psychological dimension of how humans perceive and respond to collaborative robots. His 2024 study on human leading and following preferences, already attracting significant early attention, exemplifies his commitment to building robots that are not merely efficient but genuinely compatible with human partners. Collectively, his body of work reflects a trajectory from classical robotics control toward socially aware, adaptive collaborative systems — a transition that mirrors the field's broader evolution.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-goal motion planning using traveling salesman problem in belief space19 citations · 2018
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- 8Path Planning for a UAV by Considering Motion Model Uncertainty2 citations · 2019
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