Saeed Sohrabpour
Papers
10
Total Citations
47
H-Index
4
About
Saeed Sohrabpour is a leading researcher in robotic locomotion, passive dynamic systems, and reconfigurable manipulators. His pioneering work on passive dynamic object manipulation—where unactuated systems manipulate objects without external power—has laid foundational principles for energy-efficient robotics, directly extending concepts from passive walking robots. With over 10 citations, his seminal 2013 paper on this framework remains a key reference in the field. Sohrabpour has also made significant contributions to bipedal locomotion, developing novel gait synthesis methods for fast walking and spring-mass models for jumping and hopping, which mimic natural human and animal movement patterns. His research on Dual-Arm Cam-Lock (DACL) robots, optimized through genetic algorithms and task-space manipulability, addresses critical challenges in cooperative manipulation and structural stiffness. Additionally, his work on solving high-order nonholonomic systems using the Gibbs-Appell method provides powerful analytical tools for complex robotic dynamics. With a career spanning foundational theory to practical optimization, Sohrabpour’s research continues to influence the design of efficient, bio-inspired robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Passive dynamic object manipulation: A framework for passive walking systems10 citations · 2013
- 2A Novel Method of Gait Synthesis for Bipedal Fast Locomotion8 citations · 2008
- 3Passive Dynamic Object Manipulation: Preliminary Definition and Examples7 citations · 2010
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- 5Solving high order nonholonomic systems using Gibbs-Appell method4 citations · 2009
- 6Dynamics Modeling of a Humanoid Robot3 citations · 2005
- 7Spring-Mass Jumping of Underactuated Biped Robots3 citations · 2007
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- 10Optimal Configuration of a 4-DOF Dual-Arm Cam-Lock Manipulator2 citations · 2007