Learning-based methods have shown promising performance for accelerating...
Multi-robot assembly systems are becoming increasingly appealing in
manu...
We tackle the challenging problem of multi-agent cooperative motion plan...
Solving planning and scheduling problems for multiple tasks with highly
...
Planning in hybrid systems with both discrete and continuous control
var...
We study the multi-agent safe control problem where agents should avoid
...
We present a scalable and effective multi-agent safe motion planner that...
In planning and scheduling, solving problems with both state and tempora...