91 citations · 524 across the 63 of their papers we have counts for
7 papers · 1 filter
Inter-Robot Interactions in Multi-Robot Systems Using Braids
Yancy Diaz-Mercado, Magnus Egerstedt
This paper describes a framework for multi-robot coordination and motion planning with emphasis on inter-agent interactions. We focus on the characterization of inter-agent interac…
A Game-theoretic Formulation of the Homogeneous Self-Reconfiguration Problem
Daniel Pickem, Magnus Egerstedt, Jeff S. Shamma
In this paper we formulate the homogeneous two- and three-dimensional self-reconfiguration problem over discrete grids as a constrained potential game. We develop a game-theoretic…
Approximately Truthful Multi-Agent Optimization Using Cloud-Enforced Joint Differential Privacy
M. T. Hale, M. Egerstedt
Multi-agent coordination problems often require agents to exchange state information in order to reach some collective goal, such as agreement on a final state value. In some cases…
Cloud-Based Centralized/Decentralized Multi-Agent Optimization with Communication Delays
Matthew T. Hale, Angelia Nedic, Magnus Egerstedt
We present and analyze a computational hybrid architecture for performing multi-agent optimization. The optimization problems under consideration have convex objective and constrai…
Cloud-Enabled Differentially Private Multi-Agent Optimization with Constraints
Matthew Hale, Magnus Egerstedt
We present an optimization framework for solving multi-agent nonlinear programs subject to inequality constraints while keeping the agents' state trajectories private. Each agent h…
Communication-Free Distributed Coverage for Networked Systems
A. Yasin Yazicioglu, Magnus Egerstedt, Jeff S. Shamma
In this paper, we present a communication-free algorithm for distributed coverage of an arbitrary network by a group of mobile agents with local sensing capabilities. The network i…
Formation of Robust Multi-Agent Networks Through Self-Organizing Random Regular Graphs
A. Yasin Yazicioglu, Magnus Egerstedt, Jeff S. Shamma
Multi-agent networks are often modeled as interaction graphs, where the nodes represent the agents and the edges denote some direct interactions. The robustness of a multi-agent ne…