Abbas Khosravi
Deakin University, Payame Noor University, University of Girona
Papers
22
Total Citations
649
H-Index
12
About
Abbas Khosravi is a prominent researcher whose work spans robotics, autonomous systems, and human-robot interaction, with particular expertise in teleoperation, imitation learning, and intelligent control systems. His research has made substantial contributions to the field of adaptive control for teleoperation systems, where he has tackled the persistent challenges of time-varying delays and model uncertainties in Internet-based robotic environments. His 2019 papers on robust adaptive control and Type-2 fuzzy neural-network control—garnering 124 and 75 citations respectively—established him as a leading voice in making remote robotic operations safer and more reliable. Khosravi's survey on imitation learning algorithms (2024, 172 citations) has rapidly become a key reference for researchers navigating the rapidly evolving landscape of AI-driven autonomous systems, including autonomous driving and aerial robotics. His work in neuroevolution-based robot navigation further demonstrates his breadth, exploring evolutionary algorithms to optimize autonomous decision-making. His comprehensive review of exoskeleton technology underscores his commitment to advancing physical and cognitive human-robot interaction. Across his portfolio, Khosravi consistently bridges theoretical rigor with real-world applicability, making his research indispensable for students and practitioners working at the cutting edge of intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges172 citations · 2024
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- 4Neuroevolution-based autonomous robot navigation: A comparative study48 citations · 2020
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- 10Autonomous Robot Navigation Using Moth-Flame-Based Neuroevolution19 citations · 2019