Evangelos Theodorou
Papers
3
Total Citations
23
H-Index
3
About
Evangelos Theodorou is at the forefront of control theory for next-generation autonomous systems, pioneering scalable and safe solutions for multi-agent and stochastic environments. His research focuses on distributed hierarchical control, decentralized stochastic optimization, and risk-aware decision-making for complex dynamical systems. In his most cited work, Theodorou addresses the monumental challenge of controlling Very-Large-Scale Multi-Agent Systems (VLMAS) with millions of agents, proposing a distributed hierarchical framework that enables coordination without centralized computation. He further advances the field by integrating deep forward-backward stochastic differential equations (FBSDEs) with ADMM to achieve decentralized safe multi-agent control under stochastic disturbances, mathematically encoding safety via stochastic control barrier functions. His work on adaptive Conditional Value-at-Risk (CVaR) optimization introduces a path-space stochastic search method that robustly handles uncertainties from initial conditions, dynamics, and model parameters. With over 20 citations across his top papers, Theodorou’s contributions are shaping the future of resilient, large-scale robotic swarms and autonomous systems operating in unpredictable real-world environments.
Research Focus
Key Achievements
Top Papers
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