Research Areas
Exploring the frontiers of autonomous systems.
Multi-Robot Systems
Focuses on the coordination and decision-making of distributed robotic teams, including cooperative control, swarm navigation, and pursuit-evasion games.
Autonomous Systems
Encompasses the design, control, and real-world implementation of robots across diverse domains, including aerial (UAVs), marine, and off-road navigation.
Perception & Vision
Bridges the gap between raw sensor data and high-level reasoning using computer vision, multimodal deep learning, foundation models, and reinforcement learning.
Dynamics & Planning
Develops the mathematical and algorithmic foundations for safe, efficient, and optimized robotic movement using model-predictive and neuroadaptive control.
Simulation & Teaming
Explores how humans interface with, teach, and control complex robotic systems using immersive technologies, HITL learning, and mixed reality.