Mutualisms as a Framework for Multi-Robot Collaboration

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Authors

Alexander A. Nguyen, Mauriel Rodriguez Curras, Magnus Egerstedt, and Jonathan N. Pauli

Abstract

This paper investigates how mutualisms – jointly beneficial interactions between members of different species – can inform collaborative architectures for heterogeneous multi-robot systems. We present a case study that showcases how the landscape composition impacts the benefits of forming mutualisms and, through this case study, the concept of fitness and its components can be introduced for engineered systems – leading to notions of longevity, task fecundity, and robot fitness.

Link

A. A. Nguyen, M. Rodriguez Curras, M. Egerstedt, and J. N. Pauli, “Mutualisms as a Framework for Multi-Robot Collaboration,” in Frontiers in Robotics and AI, vol. 12, p. 1566452, 2025

Supporting Media