Papers
8
Total Citations
201
H-Index
5
About
Hadi Jahanshahi is a leading researcher at the intersection of robotics, control theory, and artificial intelligence, with a particular focus on space and rehabilitation applications. His work has garnered significant attention, with his most cited paper—a comprehensive review of machine learning in robotic grasping for space applications—accumulating 82 citations. Jahanshahi’s major contributions include developing advanced control strategies, such as recurrent neural network-based robust nonsingular sliding mode control for non-holonomic spherical robots (52 citations) and fault-tolerant terminal sliding mode control for vibration suppression in nano-beams. He has also pioneered path planning algorithms for autonomous robots navigating unknown and dangerous environments, as well as distributed predefined-time neural adaptive control for networked systems. His notable achievements include authoring a book on robot path planning algorithms and co-authoring a forward-looking review of tactile sensing technologies for space robotics. Through his innovative integration of machine learning, neural networks, and sliding mode control, Jahanshahi is advancing the capabilities of robots in extreme environments, from deep space to rehabilitation clinics, making him a pivotal figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Review of machine learning in robotic grasping control in space application82 citations · 2024
- 2
- 3Robot Motion Planning in an Unknown Environment with Danger Space36 citations · 2019
- 4A comprehensive review of tactile sensing technologies in space robotics14 citations · 2025
- 5
- 6Robot Path Planning Algorithms: A Review of Theory and Experiment5 citations · 2018
- 7
- 8