Fazel Keshtkar
Papers
2
Total Citations
15
H-Index
2
About
Fazel Keshtkar is a researcher whose work bridges artificial intelligence, robotics, and mental health interventions. His key research areas include human-robot interaction, reinforcement learning, and cognitive behavioral therapy (CBT) frameworks for autonomous systems. A major contribution is his multi-modal human-robot interaction framework based on a cognitive behavioral therapy model (2018, 10 citations), which addresses the rising crisis of depression and suicide by extending traditional HRI systems to support mental wellness. This innovative work positions robots as therapeutic companions, integrating emotional and behavioral cues into autonomous responses. In robotics, Keshtkar has advanced model-free reinforcement learning for leader-follower formation control using nonholonomic mobile robots (2020, 5 citations), enabling adaptive, autonomous navigation without pre-defined models. His work demonstrates how AI-driven agents can learn complex coordination tasks in real-time. Keshtkar’s research is notable for its interdisciplinary impact—merging clinical psychology with robotics—and for pioneering socially-aware autonomous systems. His contributions are shaping the future of assistive robotics and intelligent agents capable of empathetic, goal-oriented interaction.
Research Focus
Key Achievements
Top Papers
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