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Conor McGann
Researcher at Monterey Bay Aquarium Research Institute
Publications - 15
Citations - 603
Conor McGann is an academic researcher from Monterey Bay Aquarium Research Institute. The author has contributed to research in topics: Context (language use) & Adaptive control. The author has an hindex of 7, co-authored 15 publications receiving 569 citations. Previous affiliations of Conor McGann include Willow Garage & Ames Research Center.
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Proceedings ArticleDOI
Autonomous door opening and plugging in with a personal robot
Wim Meeussen,Melonee Wise,Stuart Glaser,Sachin Chitta,Conor McGann,Patrick Mihelich,Eitan Marder-Eppstein,Marius Muja,Victor Eruhimov,Tully Foote,John Hsu,Radu Bogdan Rusu,Bhaskara Marthi,Gary Bradski,Kurt Konolige,Brian P. Gerkey,Eric Berger +16 more
TL;DR: An autonomous robotic system capable of navigating through an office environment, opening doors along the way, and plugging itself into electrical outlets to recharge as needed is described.
Proceedings ArticleDOI
A deliberative architecture for AUV control
TL;DR: This paper presents an agent architecture developed to overcome this limitation through on-board planning using Constraint- based Reasoning and is integrated and tested in simulation and at sea.
Proceedings ArticleDOI
A systematic agent framework for situated autonomous systems
TL;DR: This framework manages the information flow within the partitioned structure to ensure consistency in order to direct the flow of goals and observations in a timely manner and promises a domain-independent, scalable and robust approach for control of real-world autonomous robots operating in dynamic environments.
Proceedings Article
Adaptive control for autonomous underwater vehicles
TL;DR: The novelty of this approach is in integrating deliberation and reaction over different temporal and functional scopes within a single model, and in breaking new ground in oceanography by allowing for precise sampling within a feature of interest using an autonomous robot.
Proceedings ArticleDOI
Runtime verification for autonomous spacecraft software
TL;DR: In this article, an approach named runtime verification for testing autonomy software is described, which is a technique for generating test oracles from abstract specifications of expected behavior, and its application to the PLASMA planning system.