Fundamental areas of research in the ADAMS lab include:
Multi-Agent Systems: swarm intelligence for distributed search, transport, & optimization, decentralized cyber-physical systems.
Evolutionary–Neural–Developmental Algorithms: co-design of the physical and intelligence architecture of systems, embodied learning.
Metamodeling and Multi-fidelity Optimization: uncertainty analysis, automated selection, and adaptive refinement of metamodels, multi-objective-/MINLP with uncertainty.
Major areas of application include:
Unmanned Aerial Vehicles (UAVs)
Swarm of Autonomous Ground Vehicles
Smart Wind Farms, Smart Buildings, Smart Wireless Networks for IoT
Metamaterials by Design (for Robotics/Energy Harvesting)