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The MOOS-IvP Swarm Toolbox


The Swarm Toolbox is an extension of the MOOS-IvP public codebase containing a set of prototype libraries, MOOS applications and Helm behaviors with the focus on set of multi-vehicle, i.e., swarm, missions, and methods for decentralized task allocation. The toolbox also contains several logistic utilities for managing and operating large numbers of vehicles including (a) automated distributed software version control, (b) mission launch and health status monitoring, and (c) post-mission automated collection of mission log files and archiving. The primary mission focus areas are (1) large area distributed mobile sensing, (2) swarm defense of a high-value asset, and (3) multi-vehicle linear convoying. The toolbox also contains a prototype variant of the conventional MOOS-IvP simulator for enabling simulation up to 400x real-time per vehicle. This project has high overlap with the MTASC project which emphasizes the hardware aspect of swarm simulations.

Status:Ongoing since August 2019
Sponsors:MIT Lincoln Laboratory
Prior Sponsors:NASA, DARPA, Lockheed Martin, Vecna Robotics
People:Mike Benjamin (PI), Supun Randeni, Tyler Paine
Software:MOOS-IvP public codebase, MOOS-IvP Swarm Toolbox
Robots:https://oceanai.mit.edu/pavlab/robots/herons
Other Hardware:https://oceanai.mit.edu/pavlab/proj/mtasc
Related Projects:Manatee, MTASC, Sea Train

Recent Publications


2024 (2 items)

  1. Tyler M. Paine, Anastasia Bizyaeva, Michael R. Benjamin, Adaptive bias for dissensus in nonlinear opinion dynamics with application to evolutionary division of labor games, 2024. (bibtex)
  2. Tyler Paine, Michael Benjamin, A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization, International Conference on Robotics and Automation (ICRA), May, 2024. (bibtex)

2021 (1 item)

  1. Michael Benjamin, Tyler Paine, Supun Randeni, Autonomy Algorithms for Stable Dynamic Linear Convoying of Autonomous Marine Vehicles, OCEANS 2021 MTS/IEEE, October, 2021. (bibtex)

2020 (1 item)

  1. Michael Benjamin, Multi-Agent Tactical Autonomy Simulation Cluster (MTASC), 2020 End of Year Report, December, 2020. (bibtex)

Document Maintained by: mikerb@mit.edu        
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