Jiaoyang Li

Jiaoyang Li

Assistant Professor at Carnegie Mellon University

Research

My research focuses on developing fundamental algorithms that enable large teams of autonomous agents to accomplish collaborative tasks intelligently in dynamic environments. Applications of my research include mobile robot coordination for automated warehousing and, in general, nonholonomic robot teams, drone swarm control, multi-arm assembly, character control in video games, and traffic management for airports, railway networks, and road intersections with autonomous cars.

A summary of our ongoing research can be found here (updated date: August 2024).

Foundations of Multi-Agent Path Finding (MAPF)

MAPF

We develop efficient and effective algorithms to solve challenging MAPF instances via a variety of AI and optimization technologies.

Coordination of Large Robot Teams in Automated Warehouses

warehouse

We combine task planning, path planning, and execution control to coordinate thousands of mobile robots to fulfill delivery tasks in automated warehouses.

Multi-Arm Assembly

Robotic Arms

We develop combined task and motion planning frameworks to jointly plan safe, low-cost plans for a team of robots to assemble complex spatial structures.

Intelligent Traffic Management

Railway Planning

We develop intelligent planning systems to coordinate trains, airplanes, autonomous vehicle, etc. on complex road networks under uncertainty.

Planning for Complex Robot Teams

Drones

We generalize MAPF algorithms to coordinate teams of heterogeneous and nonholonomic robots by considering various practical constraints from robotics.