20 citations · 35 across the 4 of their papers we have counts for
5 papers
Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas
Federico Rossi, Saptarshi Bandyopadhyay, Michael T. Wolf +1
The goal of this paper is to provide a survey and application-focused atlas of collective behavior coordination algorithms for multi-agent systems. We survey the general family of…
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…
Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition
Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi +2
Multi-robot systems are uniquely well-suited to performing complex tasks such as patrolling and tracking, information gathering, and pick-up and delivery problems, offering signifi…
On Local Computation for Optimization in Multi-Agent Systems
Robin Brown, Federico Rossi, Kiril Solovey +2
A number of prototypical optimization problems in multi-agent systems (e.g., task allocation and network load-sharing) exhibit a highly local structure: that is, each agent's decis…
Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy
Federico Rossi, Saptarshi Bandyopadhyay, Michael Wolf +1
In this paper, we review multi-agent collective behavior algorithms in the literature and classify them according to their underlying mathematical structure. For each mathematical…