Daniel Roozbahani
Papers
3
Total Citations
7
H-Index
2
About
Daniel Roozbahani is a robotics researcher focused on advancing human-robot interaction and teleoperation systems. His work centers on three key areas: intuitive robotic control using biological signals, collision avoidance for collaborative robots, and immersive telepresence technologies. Roozbahani’s most notable contribution is the development of a robust control platform for a 3-finger robotic gripper that interprets EMG-derived hand muscle signals in NI LabVIEW, enabling natural, human-like manipulation (4 citations). He further extended teleoperation safety with an intelligent collision avoidance platform for dual robotic arms, minimizing risks in human-robot collaboration (2 citations). His innovative work on immersive telepresence integrates a humanoid robotic head with VR headsets, providing real-time stereoscopic vision and binaural audio for remote presence applications (1 citation). Roozbahani’s research bridges the gap between human intent and robotic action, making complex teleoperation more accessible and safer. His contributions are particularly relevant for applications in hazardous environments, healthcare, and assistive robotics, where intuitive control and reliable collaboration are essential.
Research Focus
Key Achievements
Top Papers
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