Shmil Edelman
Papers
3
Total Citations
26
H-Index
2
About
Shmil Edelman’s research lies at the intersection of robotics, biomechanics, and human-machine interaction, with a focus on how autonomous systems and humans can move safely and efficiently through complex environments. In his most cited work, “Online Robot Navigation Using Continuously Updated Artificial Temperature Gradients” (2017, 20 citations), Edelman introduced a novel method for mobile robot path planning in unknown environments. By synthesizing an artificial temperature gradient through numerical heat equation solutions, his approach allows a robot to dynamically adjust its route as sensors discover new obstacles—offering a computationally efficient alternative to traditional graph-based planners. This contribution has been foundational for researchers working on real-time autonomous navigation under uncertainty. Edelman also bridges robotics with rehabilitation and human movement science. He led the development of the PerStBiRo system (2021, 4 citations), a perturbation stationary bicycle robotic platform that delivers unexpected lateral disturbances during cycling to study balance reactive responses—a critical tool for fall prevention in older adults. Additionally, his work on tight coupling between human walking and a four-legged walking device (2020, 2 citations), inspired by insect locomotion, explores how humans and legged robots can coordinate without constraining natural gait. Through these diverse projects, Edelman demonstrates a commitment to creating technologies that augment human capability while respecting biological constraints—a vision that continues to inspire students and researchers in robotics and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3