Academic Research Lab
Break boundaries. Unlock possibilities.
EXTEND Lab advances reinforcement learning, multi-agent systems, and edge intelligence for future intelligent systems.
Research Areas
What We Explore
Multi-Agent Systems
Collaborative and competitive intelligence for complex cyber-physical and physical-world tasks.
Robotic/Embodied AI
Agents that perceive, act, adapt, and learn robustly in uncertain and dynamic environments.
Simulation-to-Reality RL
Bridging virtual training environments and physical deployment through robust reinforcement learning pipelines.
Edge Intelligence and Wireless Systems
Learning-enabled communications, resource allocation, and intelligent infrastructure.
Lab Updates