Fleets of unmanned robots can be beneficial for the long-term monitoring...
Multi-agent systems outperform single agent in complex collaborative tas...
A reliable communication network is essential for multiple UAVs operatin...
Linear Temporal Logic (LTL) formulas have been used to describe complex ...
Harmonic potentials provide globally convergent potential fields that ar...
Coalition is an important mean of multi-robot systems to collaborate on
...
Multi-agent systems can be extremely efficient when working concurrently...
Robotic manipulation is currently undergoing a profound paradigm shift d...
Resource limitations make it hard to provide all students with one of th...
Safety is crucial for robotic missions within an uncertain environment.
...
This paper addresses the online motion planning problem of mobile robots...
Multi-agent systems can be extremely efficient when solving a team-wide ...
Learning from demonstration (LfD) provides a fast, intuitive and efficie...
Collision-free trajectory generation within a shared workspace is fundam...
Complex manipulation tasks can contain various execution branches of
pri...
Learning from Demonstration (LfD) provides an intuitive and fast approac...
Enabling robots to quickly learn manipulation skills is an important, ye...
We propose that clusters interconnected with network topologies having
m...
This paper considers the motion control and task planning problem of mob...
We consider a team of heterogeneous robots which are deployed within a c...
In this paper, we develop a decentralized intermittent communication and...