Moslem Mohammadi

Papers

Total Citations

136

H-Index

About

Moslem Mohammadi is a pioneering researcher at the intersection of soft robotics, advanced manufacturing, and intelligent control systems. His work centers on developing next-generation robotic actuators and joints that are not only softer and safer but also autonomously adaptive. A key contribution is his groundbreaking 2023 paper on "Sustainable Robotic Joints 4D Printing with Variable Stiffness Using Reinforcement Learning," which has garnered 89 citations. This work introduces a novel paradigm where 3D-printed robotic components can change their stiffness over time (the "4D" aspect) and learn optimal control strategies through reinforcement learning, effectively bridging the gap between material science and artificial intelligence. In another highly influential study (47 citations), Mohammadi demonstrated "3D‐Printed Phase‐Change Artificial Muscles with Autonomous Vibration Control," creating soft actuators that can self-regulate their motion without external sensors. By integrating phase-change materials into 3D-printed structures, his research enables robots to operate with unprecedented energy efficiency and safety. Mohammadi’s work is defining a new class of sustainable, intelligent soft robots that promise to revolutionize applications from medical assistive devices to industrial automation, making him a leading voice in the future of embodied intelligence.