Coordinating with Humans by Adjustable-Autonomy for Multirobot Pursuit (CHAMP)

Danielle Dumond; Jeanine Ayers; Nathan Schurr; Alan Carlin; Dustin Burke; Jeffrey Rousseau

doi:10.1117/12.920451

15 May 2012 Coordinating with Humans by Adjustable-Autonomy for Multirobot Pursuit (CHAMP)

Danielle Dumond, Jeanine Ayers, Nathan Schurr, Alan Carlin, Dustin Burke, Jeffrey Rousseau

Proceedings Volume 8387, Unmanned Systems Technology XIV; 838703 (2012) https://doi.org/10.1117/12.920451
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

One of the primary challenges facing the modern small-unit tactical team is the ability of the unit to safely and effectively search, explore, clear and hold urbanized terrain that includes buildings, streets, and subterranean dwellings. Buildings provide cover and concealment to an enemy and restrict the movement of forces while diminishing their ability to engage the adversary. The use of robots has significant potential to reduce the risk to tactical teams and dramatically force multiply the small unit's footprint. Despite advances in robotic mobility, sensing capabilities, and human-robot interaction, the use of robots in room clearing operations remains nascent. CHAMP is a software system in development that integrates with a team of robotic platforms to enable them to coordinate with a human operator performing a search and pursuit task. In this way, the human operator can either give control to the robots to search autonomously, or can retain control and direct the robots where needed. CHAMP's autonomy is built upon a combination of adversarial pursuit algorithms and dynamic function allocation strategies that maximize the team's resources. Multi-modal interaction with CHAMP is achieved using novel gesture-recognition based capabilities to reduce the need for heads-down tele-operation. The Champ Coordination Algorithm addresses dynamic and limited team sizes, generates a novel map of the area, and takes into account mission goals, user preferences and team roles. In this paper we show results from preliminary simulated experiments and find that the CHAMP system performs faster than traditional search and pursuit algorithms.

Citation Download Citation

Danielle Dumond, Jeanine Ayers, Nathan Schurr, Alan Carlin, Dustin Burke, and Jeffrey Rousseau "Coordinating with Humans by Adjustable-Autonomy for Multirobot Pursuit (CHAMP)", Proc. SPIE 8387, Unmanned Systems Technology XIV, 838703 (15 May 2012); https://doi.org/10.1117/12.920451

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