Papers
12
Total Citations
245
H-Index
7
About
Aliasghar Arab is a leading researcher in the field of advanced robotics and autonomous vehicle control, with a primary focus on robust and optimal control strategies for mobile manipulators, wheeled mobile robots, and autonomous racing vehicles. His major contributions include the development of an adaptive gradient descent-based local search in memetic algorithms for optimal controller design (83 citations) and a robust impedance control framework for uncertain mobile manipulators using time-delay compensation (54 citations), which effectively handles nonholonomic constraints, nonlinear dynamics, and motor dynamics coupling. Arab has also pioneered voltage control strategies for wheeled mobile robots (41 citations) and addressed the critical challenge of transferring optimal control designs from simulation to real-world applications (14 citations). His notable work on safe predictive control for four-wheel mobile robots with independent steering and drive (14 citations) and safety prioritization through iterative feedback linearization for collaborative robots (6 citations) demonstrates his commitment to human-centric autonomous systems. Additionally, his research on aggressive vehicle maneuvers (13 citations) and autonomous racing vehicles (4 citations) pushes the boundaries of vehicle dynamics and safety. With a total of over 240 citations, Arab’s work is instrumental in advancing safe, optimal, and robust control for next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robust control of a wheeled mobile robot by voltage control strategy41 citations · 2014
- 4Optimal Control of Wheeled Mobile Robots: From Simulation to Real World14 citations · 2020
- 5
- 6Motion control of autonomous aggressive vehicle maneuvers13 citations · 2016
- 7An uncertainty compensator for robust control of wheeled mobile robots10 citations · 2015
- 8
- 9Safe motion control and planning for autonomous racing vehicles4 citations · 2021
- 10