Simulating Collaborative Robots in a Massive Multi-agent Game Environment (SCRIMMAGE)

14Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Testing mobile robotic systems in the field is a costly and risky task. Unfortunately, there is a gap between the existing simulation capabilities and those required to simulate large numbers of aerial vehicles. Many multi-agent robotics simulators have been restricted to the 2D plane, which limits their usefulness for aerial robotic platforms. While high-fidelity 3D robotics simulators exist, simulating large numbers of agents in these simulators can result in slower-than-real-time performance. SCRIMMAGE provides a 3D robotics environment that can simulate varying levels of collision detection, sensor modeling, communications modeling, and motion modeling fidelity due to its flexible plugin interface. This allows a robotics researcher to simulate hundreds of aircraft with low-fidelity motion models or tens of aircraft with high-fidelity motion models on single computer. SCRIMMAGE provides tools for batch simulation runs, varying initial conditions, and deployment to a cluster.

Author supplied keywords

Cite

CITATION STYLE

APA

DeMarco, K., Squires, E., Day, M., & Pippin, C. (2019). Simulating Collaborative Robots in a Massive Multi-agent Game Environment (SCRIMMAGE). In Springer Proceedings in Advanced Robotics (Vol. 9, pp. 283–297). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-05816-6_20

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free