Mohammad Reza Haghjoo
Papers
8
Total Citations
43
H-Index
4
About
Mohammad Reza Haghjoo is a robotics researcher focused on advancing rehabilitation and legged locomotion technologies. His work spans two core areas: gait rehabilitation exoskeletons and robotic mechanisms for path synthesis. Haghjoo’s major contributions include developing a model-free adaptive variable impedance controller for gait rehabilitation exoskeletons (9 citations) and pioneering a two-stage mechanism path synthesis method using optimized shadow robot control, demonstrated on the eight-bar Jansen mechanism (11 citations). He has also designed a novel low-speed gait rehabilitation device incorporating a synthesized geared five-bar mechanism (4 citations), targeting the optimal speed range for stroke and neurophysiological patients. His research extends to quadruped robots, with trotting gait planning and modeling (6 citations), and passive dynamic quadruped robots using multibody simulation. Haghjoo’s work on tracking control of omni-directional mobile robots (7 citations) introduced novel velocity and acceleration cone concepts. His notable achievements include the CoGait WalkAssist, a motor-free lower-limb rehabilitation robot for natural treadmill gait training, and a modified shadow robot control method for optimal path synthesis of five-link mechanisms. With a growing citation impact, Haghjoo’s research bridges theoretical mechanism design and practical rehabilitation robotics, offering cost-effective solutions for mobility-impaired patients.
Research Focus
Key Achievements
Top Papers
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- 3Tracking Control of an Omni-Directional Mobile Robot7 citations · 2020
- 4Trotting Gait Planning and Modeling of a Quadruped Robot6 citations · 2022
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