Multi-robot collision-free and deadlock-free navigation in cluttered
env...
Autonomous flying robots, such as multirotors, often rely on deep learni...
Autonomous flying robots, e.g. multirotors, often rely on a neural netwo...
Quadrotors are agile flying robots that are challenging to control.
Cons...
We consider transporting a heavy payload that is attached to multiple
qu...
Multirotor teams are useful for inspection, delivery, and construction t...
Trajectory planning for multiple robots in shared environments is a
chal...
Task and Motion Planning has made great progress in solving hard sequent...
The Lighthouse system was originally developed as tracking system for vi...
Trajectory replanning is a critical problem for multi-robot teams naviga...
We present Neural-Swarm2, a learning-based method for motion planning an...
In this paper, we present Neural-Swarm, a nonlinear decentralized stable...
Quadrotor stabilizing controllers often require careful, model-specific
...
The Multi-Agent Pickup and Delivery (MAPD) problem models applications w...
The authors present an overview of a hierarchical framework for coordina...
Path planning for multiple robots is well studied in the AI and robotics...