Majid Abedinzadeh Shahri
Papers
5
Total Citations
27
H-Index
2
About
Majid Abedinzadeh Shahri is a robotics researcher focused on enhancing the energy efficiency and natural dynamics of robotic systems, particularly through the innovative use of compliant elements. His primary research areas include parallel elastic actuation, compliance profile design, and motion planning for cyclic and drawing tasks. Shahri’s most significant contributions lie in the development of variable parallel elastic actuators that adapt compliance profiles to improve energy efficiency in rotary mechanisms and legged robots. His work on "Adaptation in a variable parallel elastic actuator for rotary mechanisms towards energy efficiency" (11 citations) and "Profile Design of Parallel Rotary Compliance for Energy Efficiency in Cyclic Tasks" (10 citations) addresses the challenge of optimizing compliance over varying locomotion speeds, offering practical solutions for modifying robots’ natural dynamics. He has also explored motion control strategies, including fuzzy logic for nonholonomic mobile manipulators, and shape-dependent power laws for drawing robots. With over 25 citations across his key papers, Shahri’s research is paving the way for more efficient, adaptive robotic systems, making him a notable contributor to the fields of compliant robotics and energy-optimized actuation.
Research Focus
Key Achievements
Top Papers
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