Mohammad Adinehvand
Papers
3
Total Citations
28
H-Index
3
About
Mohammad Adinehvand is a roboticist whose work sits at the intersection of mechanical design and advanced control theory, with a focus on creating robots that can operate in the most challenging, confined environments. His primary research areas include climbing robotics, kinematically redundant manipulators, and hybrid force/position control. Adinehvand’s major contributions are twofold: he designed the **BogieBot**, a miniature climbing robot specifically engineered to navigate the cluttered, ferrous-metal surfaces of train bogies for proactive inspection—a task that is notoriously difficult and hazardous for human workers. To enable such machines to perform with precision, he developed sophisticated control strategies, including a **Barrier Lyapunov Function-based backstepping adaptive controller** that simultaneously constrains both force and position, preventing dangerous constraint violations during manipulation. His most cited work, "Design and adaptive control of a kinematically redundant robot with enhanced trajectory tracking for climbing in tight spaces" (19 citations), demonstrates his ability to merge mechanical ingenuity with robust control to achieve superior trajectory tracking in confined spaces. Through this combination of novel hardware and rigorous control theory, Adinehvand is advancing the frontier of autonomous inspection and maintenance in safety-critical industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3