Papers
43
Total Citations
738
H-Index
14
About
Alireza Rastegarpanah is a robotics researcher whose work spans human-robot collaboration, autonomous manipulation, nuclear decommissioning, and sustainable battery recycling. His early contributions established sophisticated frameworks for dynamic robotic grasping, most notably his 2018 paper on trajectory planning for moving objects (102 citations), which demonstrated how vision-guided systems can enable robots to intercept and grasp objects handed over by human co-workers in real time. Alongside this, his pioneering pilot studies on teleoperation for nuclear waste handling (83 citations) helped open a largely untapped domain for advanced robotics in hazardous environments. Rastegarpanah has since become a leading voice in robotic disassembly for the circular economy, authoring highly cited systematic reviews and practical frameworks addressing the automated recycling of electric vehicle batteries — a timely and rapidly growing field. His semi-autonomous behaviour tree framework and telerobotics disassembly work reflect a consistent drive to bridge theoretical planning with real-world deployment challenges. His contributions to rehabilitation robotics, including parallel robot systems for ankle and lower-limb therapy, further demonstrate impressive breadth. With several papers exceeding 60 citations and a portfolio addressing pressing societal challenges — from nuclear safety to sustainable manufacturing — Rastegarpanah has established himself as an impactful and versatile figure in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1Dynamic grasp and trajectory planning for moving objects102 citations · 2018
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- 7Parallel Robot for Lower Limb Rehabilitation Exercises36 citations · 2016
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- 9Path planning of the hybrid parallel robot for ankle rehabilitation26 citations · 2014
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