Papers
31
Total Citations
322
H-Index
10
About
Saeed Abdolshah is a robotics researcher whose work spans two interconnected domains: cable-driven parallel robots and human-robot interaction (HRI) safety. His early contributions focused on the mechanical intelligence of robotic systems, with his most-cited work (64 citations) introducing optimization frameworks for adaptive cable-driven parallel robots, improving both stiffness and dexterity across task workspaces. He also developed linear quadratic optimal control strategies for such systems, establishing a strong foundation in advanced robot mechanics. Abdolshah's research evolved significantly toward collaborative robotics safety, where he has made particularly timely contributions. He has critically examined ISO/TS 15066 standards, clarifying the correct application of effective robot mass in collision safety assessments and analyzing constrained collision forces experimentally — work that directly informs industrial safety compliance. His investigations into human startle responses during HRI and the development of MPC-based motion planning frameworks demonstrate a nuanced understanding of both physical and psychological dimensions of safe human-robot collaboration. He has additionally contributed to tactile benchmarking protocols, online payload identification, and modular ROS-based architectures for Industry 4.0 workcells. With over 200 cumulative citations, Abdolshah's research offers both theoretical rigor and practical relevance for engineers and researchers designing the next generation of collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5An MPC Framework For Planning Safe & Trustworthy Robot Motions17 citations · 2022
- 6Linear quadratic optimal controller for cable-driven parallel robots17 citations · 2015
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- 8Online Payload Identification for Tactile Robots Using the Momentum Observer16 citations · 2022
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- 10The Role of Robot Payload in the Safety Map Framework13 citations · 2019