Papers
11
Total Citations
271
H-Index
8
About
Zeynab Talebpour is a leading researcher at the intersection of multi-robot systems, human-aware navigation, and intelligent health technologies. Her work addresses the critical challenge of enabling robots to operate safely and efficiently in dynamic environments shared with humans. She has made foundational contributions to multi-robot task allocation (MRTA), developing adaptive, risk-based coordination frameworks that account for human motion prediction uncertainty and social costs—a significant advance over purely distance-based approaches. Her most cited work, "Harnessing the Power of Smart and Connected Health to Tackle COVID-19" (133 citations), demonstrates her ability to apply AI, IoT, and robotics to pressing global challenges. Talebpour has also pioneered novel control methods, including deep functional predictive control for tactile-based robot manipulation and probabilistic models for human-aware navigation under perception uncertainty. Her research, published in top venues, has garnered over 260 citations, reflecting its impact on both theoretical foundations and practical deployments. By bridging robotics, AI, and human-robot interaction, Talebpour continues to shape the future of autonomous systems that work alongside people.
Research Focus
Key Achievements
Top Papers
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- 5Multi-Robot Coordination in Dynamic Environments Shared with Humans13 citations · 2018
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