Papers
23
Total Citations
590
H-Index
9
About
Farbod Fahimi is a versatile robotics and control systems researcher whose work spans intelligent prosthetics, autonomous robots, biped locomotion, and aerial vehicles. Perhaps his most influential contribution is his 2011 development of an online actor-critic reinforcement learning framework for myoelectric prosthesis control, enabling artificial limbs to adapt in real time to user intent — a landmark study that has accumulated 158 citations and meaningfully advanced the field of neuroprosthetics. His 2008 textbook, *Autonomous Robots: Modeling, Path Planning, and Control*, has become a widely referenced graduate-level resource with 127 citations, while his concurrent work on harmonic potential functions for real-time multi-robot obstacle avoidance (79 citations) demonstrated elegant cross-disciplinary problem-solving by borrowing techniques from fluid mechanics. Fahimi has also made substantial contributions to biped robot control, applying sliding mode methods and disturbance rejection strategies to achieve robust walking stability. His research extends further into hyper-redundant manipulators, unmanned aircraft vision-based control, and even bioinspired flapping-wing vehicles designed for Mars flight conditions, underscoring a remarkably broad yet cohesive research vision centered on intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous Robots: Modeling, Path Planning, and Control127 citations · 2008
- 3Real-time obstacle avoidance for multiple mobile robots79 citations · 2008
- 4Robust control of underactuated bipeds using sliding modes56 citations · 2007
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- 8The Development of a Myoelectric Training Tool for Above-Elbow Amputees11 citations · 2012
- 9Scaling Bioinspired Mars Flight Vehicles for Hover9 citations · 2019
- 10