Code
Videos
Past/Current Research Projects
Decentralized Collision-Free Multi-Agent Path Finding (MAPF)
Distributed reinforcement learning for scalable, decentralized multi-agent path finding in highly-structured environments (e.g., Amazon fulfillment centers)
Communication Learning for True Cooperation in Multi-Agent Systems
Communication learning for simultaneous communication and action policy learning.
Multi-Robot Coordination via Learning-Based Combinatorial Optimization
Reinforcement learning method to solve multi-robot combinatorial optimization problem with specific objective and constraints
Autonomous Robotic Exploration and Search in Complex Environments
Deployment of robots to conduct efficient exploration and search in complex environments
Multi-Agent Search/Surveillance of Adversarial/Evasive Agents
Multi-robot search and monitor an area to locate potentially evasive targets, by learning strategies in a mixed cooperative-competitive environment.
Communication-Aware Multi-Agent Exploration
Decentralised multi-robot exploration in communication-constraint environments, ensuring appropriate connectivity and adaptability in real-world conditions.
Distributed learning based Intelligent Transportation System
Distributed RL for junction-level traffic light phase control, as well as for decentralized CAVs control via communication learning.
Environmental Interactions by Autonomous Legged Robots
The project’s aim is to exploit this manipulative prowess in order to boost the performance of legged robots in both industrial and real-world situations.
