In this paper, we investigate how heterogeneous multi-robot systems with...
Reinforcement Learning (RL) is effective in many scenarios. However, it
...
In this paper, preys with stochastic evasion policies are considered. Th...
This paper demonstrates that in some cases the safety override arising f...
In the context of heterogeneous multi-robot teams deployed for executing...
Applications that require multi-robot systems to operate independently f...
Multi-robot task allocation is a ubiquitous problem in robotics due to i...
We present a new method for learning control law that stabilizes an unkn...
We propose a framework for resilience in a networked heterogeneous
multi...
This paper concerns an application of a recently-developed nonlinear tra...
Many applications involving complex multi-task problems such as disaster...
For multi-robot teams with heterogeneous capabilities, typical task
allo...
This paper introduces a graph-based, potential-guided method for path
pl...
In this paper we present a technique for learning how to solve a multi-r...
Given a list of behaviors and associated parameterized controllers for
s...
The Robotarium, a remotely accessible swarm-robotics testbed, has provid...
A number of coordinated behaviors have been proposed for achieving speci...
In this paper we discuss how to construct a barrier certificate for a co...
Robotic systems often need to consider multiple tasks concurrently. This...
This paper explores the expressive capabilities of a swarm of miniature
...
For a team of heterogeneous robots executing multiple tasks, we propose ...
In this paper we propose a control framework that enables robots to exec...
In this paper we present a theoretical study of a specific class of
vibr...
In robot swarms operating under highly restrictive sensing and communica...
In robot swarms operating with severely constrained sensing and
communic...
In the multi-robot systems literature, control policies are typically
ob...
In densely-packed robot swarms operating in confined regions, spatial
in...
In this paper we present a reformulation--framed as a constrained
optimi...
In this paper, a method to synthesize controllers using finite time
conv...
Teams of networked autonomous agents have been used in a number of
appli...
In this paper we consider the coverage control problem for a team of
wir...
When designing control strategies for differential-drive mobile robots, ...
This paper presents a safety-aware learning framework that employs an
ad...
In multi-robot systems where a central decision maker is specifying the
...