Kasra Eshaghi
Papers
7
Total Citations
61
H-Index
5
About
Kasra Eshaghi is a leading researcher in swarm robotics and human-robot interaction, with a focus on developing intelligent, resource-constrained robotic systems for real-world applications. His work bridges two critical domains: designing autonomous millirobots with enhanced locomotion for collaborative swarms, and deploying social robots to promote physical activity among older adults. Eshaghi’s major contributions include pioneering tether-based closed-loop motion control strategies that enable accurate swarm localization without external sensors, and introducing bio-inspired inchworm motion patterns that allow swarms to maintain formation while navigating. His collaborative exploration approach for occupancy grid mapping, using only limited exteroceptive sensing, has been cited over 10 times for its practical utility in space-constrained environments. Notably, his 2023 study on long-term exercise assistance using social robots, which compares group versus one-on-one interactions with seniors, has garnered 15 citations and highlights the societal impact of his research. With recent work on probabilistic connectivity restoration and concurrent mission planning, Eshaghi continues to advance the frontier of scalable, resilient swarm systems. His research is essential reading for anyone interested in the intersection of autonomous robotics, healthcare technology, and multi-agent coordination.
Research Focus
Key Achievements
Top Papers
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- 4Closed-Loop Motion Control of Robotic Swarms – A Tether-Based Strategy8 citations · 2022
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- 6An inchworm-inspired motion strategy for robotic swarms4 citations · 2021
- 7Restoring Connectivity in Robotic Swarms – A Probabilistic Approach3 citations · 2024