Behdad Chalaki
Papers
6
Total Citations
65
H-Index
5
About
Behdad Chalaki is a rising leader in the control and coordination of emerging mobility systems, with a focus on connected and automated vehicles (CAVs), multi-robot navigation, and smart city infrastructure. His work bridges theory and practice, developing real-time control frameworks that integrate model predictive control (MPC) with deep learning and game-theoretic approaches for safe, efficient navigation in crowded, dynamic environments. Notably, his research on cooperative multi-robot navigation in crowds—combining social LSTM trajectory prediction with MPC—has garnered attention for enabling robots to move naturally among pedestrians. Chalaki also spearheaded the development of a research and educational robotic testbed for emerging mobility systems, providing a scaled experimental platform that translates theoretical advances into tangible, real-world demonstrations. His most cited paper (35 citations) introduces this testbed as a vital tool for real-time control of CAVs and shared mobility. Additionally, he has contributed to digital twin simulations for smart cities and scalable last-mile delivery services. Through his innovative integration of control theory, learning, and robotics, Chalaki is shaping the future of autonomous, socially-aware mobility.
Research Focus
Key Achievements
Top Papers
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- 4A Digital Smart City for Emerging Mobility Systems7 citations · 2022
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