Main Research areas:
- Stochastic Optimal Control with Covariance Assignment Constraints
- Coverage Control of Large-Scale Multi-agent Systems in Complex and Dynamic Environments
- Task Allocation and Pursuit-Evasion Games for Multi-Agent Systems
- Data-Driven & Model-Based Control of Uncertain Systems
- Local Motion Planning Based on Prediction of Motion & Intent of Humans and Robots
- Control of Fluid Flows based on Data-Driven Reduced Order Models
Selected (active and past) projects:
- ARL: Adaptive two-level task assignment for human-agent teams in dynamic and adversarial environments (06/2022-06/2025; PI: E. Bakolas)
- NASA: Quantum Gravity Gradiometry In Hybrid Architectures with Satellite-to-Satellite Tracking for Spaceborne Earth System Mass Change Measurements (06/2022-01/2025; Co-I: E. Bakolas with S. Bettadpur as PI for UT Austin + JPL collaborators)
- NSF-CMMI: Data-Driven Model Reduction and Real-Time Estimation and Control of Coherent Structures in Turbulent Flows (08/2021-07/2025; PI: E. Bakolas with D. Goldstein as co-PI)
- NSF-CBET: Collaborative Research: Reaping the Whirlwind: Re-energizing Boundary Layers by Targeted Manipulation of Coherent Structures (07/2021-06/2024; co-PI: E. Bakolas with D. Goldstein as PI + UT & RPI collaborators)
- NSF-CMMI: Real-Time Trajectory Generation Algorithms for Uncertain Autonomous Systems Based on Gaussian Processes (04/01/2020-09/31/2023; PI: E. Bakolas)
- NSF-ECCS: NRI: FND: Efficient algorithms for safely guiding mobile robots through spaces populated by humans and mobile intelligent machines and robots (09/15/ 2019-08/31/2023; PI: E. Bakolas)
- NSF-CMMI: “Optimal Path Planning Among Mobile Sources of Threat in Complex Environments” NSF (PI: E. Bakolas, Performance Period: 09/01/2016–8/31/2020)