Mohammad Gandomkar
Papers
1
Total Citations
3
H-Index
1
About
Mohammad Gandomkar is a robotics researcher specializing in the modeling, control, and trajectory tracking of articulated mobile systems, with a particular focus on tractor-trailer wheeled platforms. His work addresses the complex dynamics of these systems, including wheel dynamics and the challenges of maneuvering passive trailers pulled by an active tractor. Gandomkar's major contribution lies in developing optimal control strategies that ensure stable and precise trajectory tracking for these articulated vehicles, which are critical for applications in logistics, agriculture, and autonomous transport. His 2024 paper on optimal trajectory tracking of tractor-trailer platforms, which accounts for wheel dynamics, has already garnered 3 citations, signaling early impact in this niche field. By tackling the nonlinearities and constraints inherent in such systems, Gandomkar is advancing the practical deployment of multi-body robotic platforms. His research is particularly valuable for students and engineers working on autonomous ground vehicles, offering foundational insights into the control of complex, high-load-capacity robotic systems.
Research Focus
Key Achievements
Top Papers
- 1