Výsledky vyhledávání - "Joseph W. Durham"

Persistent and Robust Execution of MAPF Schedules in Warehouses

Autor: Nora Ayanian, Joseph W. Durham, Scott Kiesel, Wolfgang Hönig, Andrew Tinka

Publikováno v: IEEE Robotics and Automation Letters. 4:1125-1131

Multi-agent path finding (MAPF) is a well-studied problem in artificial intelligence that can be solved quickly in practice when using simplified agent assumptions. However, real-world applications, such as warehouse automation, require physical robo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6832441c8a74cdaab4c88c4fc9ea7221
https://doi.org/10.1109/lra.2019.2894217

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Lifelong Multi-Agent Path Finding in Large-Scale Warehouses

Autor: Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig

Multi-Agent Path Finding (MAPF) is the problem of moving a team of agents to their goal locations without collisions. In this paper, we study the lifelong variant of MAPF, where agents are constantly engaged with new goal locations, such as in large-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45728a50dbbcfe0b7f8d3b26ad371d33

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The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research

Autor: Joseph W. Durham, Jürgen Leitner, Ben Upcroft, Chris McCool, Lachlan Nicholson, Trung Pham, James Sergeant, Matthew Cooper, Adam W. Tow, Peter Corke, Ruben Mangels, Niko Sünderhauf, Markus Eich, Christopher Lehnert, Jake E. Dean, Fangyi Zhang, Liao Wu, Peter T. Kujala

Publikováno v: ICRA

Robotic challenges like the Amazon Picking Challenge (APC) or the DARPA Challenges are an established and important way to drive scientific progress. They make research comparable on a well-defined benchmark with equal test conditions for all partici

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::50e3a14b376c03543cbafc7eb4e1f6a7
https://doi.org/10.1109/icra.2017.7989545

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Dynamic Partitioning and Coverage Control with Asynchronous One-to-Base-Station Communication

Autor: Joseph W. Durham, Rushabh Patel, Paolo Frasca, Francesco Bullo, Ruggero Carli

Publikováno v: IEEE transactions on control of network systems, 3(1), 24-33. IEEE Control Systems Society

We propose algorithms to automatically deploy a group of mobile robots and provide coverage of a non-convex environment with communication limitations. In settings such as hilly terrain or for underwater ocean gliders, peer-to-peer communication can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c69ffb20cb5c64a98513e9384594e982
http://hdl.handle.net/11577/3192628

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Cooperative Patrolling via Weighted Tours: Performance Analysis and Distributed Algorithms

Autor: Joseph W. Durham, Fabio Pasqualetti, Francesco Bullo

Publikováno v: IEEE Transactions on Robotics. 28:1181-1188

This paper focuses on the problem of patrolling an environment with a team of autonomous agents. Given a set of strategically important locations (viewpoints) with different priorities, our patrolling strategy consists of 1) constructing a tour throu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c2af24dc2c74b3a4c1b5f570467f24a
https://doi.org/10.1109/tro.2012.2201293

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Dynamic partitioning and coverage control with asynchronous one-to-base-station communication

Autor: Francesco Bullo, Joseph W. Durham, Ruggero Carli, Paolo Frasca

Publikováno v: CDC/ECC

We propose algorithms to automatically deploy a group of mobile robots to provide coverage of a non-convex environment with communication limitations. In settings such as hilly terrain or for underwater ocean gliders, peer-to-peer communication can b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6661d12dfeb648a89cec827899892e53
http://hdl.handle.net/11577/2532231

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Pairwise optimal discrete coverage control for gossiping robots

Autor: Francesco Bullo, Joseph W. Durham, Ruggero Carli

Publikováno v: CDC

We propose distributed algorithms to automatically deploy a group of robotic agents and provide coverage of a discretized environment represented by a graph. The classic Lloyd approach to coverage optimization involves separate centering and partitio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0afdcdc3ca1bea83973889b7cce277b
https://doi.org/10.1109/cdc.2010.5717503

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Distributed pursuit-evasion with limited-visibility sensors via frontier-based exploration

Autor: Antonio Franchi, Joseph W. Durham, Francesco Bullo

Publikováno v: 2010 IEEE International Conference on Robotics and Automation (ICRA 2010)
ICRA

This paper addresses a novel visibility-based pursuit-evasion problem in which a team of searchers with limited range sensors must coordinate to clear any evaders from an unknown planar environment. We present a distributed algorithm built around gua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eef917354be0c0c8956538f532fa6d51
https://hdl.handle.net/11858/00-001M-0000-0013-C03E-E

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Discrete Partitioning and Coverage Control for Gossiping Robots

Autor: Paolo Frasca, Ruggero Carli, Francesco Bullo, Joseph W. Durham

We propose distributed algorithms to automatically deploy a team of mobile robots to partition and provide coverage of a non-convex environment. To handle arbitrary non-convex environments, we represent them as graphs. Our partitioning and coverage a

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