Papers
5
Total Citations
54
H-Index
4
About
Eran Bamani is a robotics and human-robot interaction (HRI) researcher whose work centers on developing intuitive, multimodal interfaces that enable seamless communication between humans and robotic systems. His research spans gesture recognition, wearable sensing technologies, and multi-agent learning, collectively advancing how robots perceive and respond to human intent. Bamani's most impactful contribution to date is his 2024 work on ultra-range gesture recognition using a standard web-camera, which has garnered 32 citations and demonstrates a practical, low-cost approach to expanding the spatial boundaries of human-robot communication. Complementing this, his 2021 study on wearable force-myography devices for multi-user in-hand object recognition — with 12 citations — introduced a non-visual method for identifying tools grasped by human collaborators, a critical capability for shared workspaces. His subsequent research extends this wearable sensing paradigm to arm pose estimation, further enriching robots' awareness of human body state. Additionally, his 2023 work on data-efficient modeling in multi-agent systems reflects a broadening scope toward scalable robotic autonomy. Together, Bamani's publications position him as an emerging voice in accessible, embodied HRI solutions.
Research Focus
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Top Papers
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