Seyed Sina Mirrazavi Salehian
Papers
8
Total Citations
371
H-Index
8
About
Seyed Sina Mirrazavi Salehian is a leading roboticist whose research lies at the intersection of dynamical systems, multi-arm coordination, and physical human-robot interaction. His most impactful contribution is a unified framework for coordinated multi-arm motion planning (109 citations), which addresses the fundamental challenge of enabling multiple robotic arms to work together seamlessly—whether handling heavy loads or manipulating objects in constrained spaces. He has also pioneered dynamical system-based approaches for high-precision tasks, including softly catching fast-moving objects (100 citations) and ensuring smooth transitions during noncontact-to-contact motions (46 citations), critical for applications like compliant robotic massage (20 citations). Notably, his work extends to bio-inspired robotics, where he developed a platform for studying natural reaching and grasping in monkeys (13 citations), bridging robotics with neuroscience. Additionally, he has explored innovative materials, designing underactuated robotic arms with shape memory polymer joints (39 citations) for lightweight, high-DOF systems. With over 370 total citations, Salehian’s work is foundational for advancing dexterous, safe, and coordinated robotic systems in manufacturing, healthcare, and beyond.
Research Focus
Key Achievements
Top Papers
- 1A unified framework for coordinated multi-arm motion planning109 citations · 2018
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