Home » Awards & Recognition » Conference Awards » IEEE ICRA Best Paper Award on Multi-Robot Systems
Description: This award recognizes the best paper on Multi-Robot Systems presented at the IEEE International Conference on Robotics and Automation (ICRA).
Established: 2017
Prize: A single award of $1,000 to be shared by all authors and certificates for individual authors. If there are multiple authors of a winning paper, they will share the $1,000 prize equally. In the exceptional case that two papers are deemed worthy, the authors of each paper will share a $500 prize equally.
Funding: The award is sponsored by Amazon Robotics for a period of 5 years (2017-2021). If funding becomes unavailable, the award will not be given.
Eligibility: All papers presented at the annual ICRA conference are eligible. There are no restrictions as to IEEE membership, organization, nationality, race, creed, sex, or age. Eligibility and Selection process shall comply with procedures and regulation established in IEEE and Society governing documents, particularly with IEEE Policy 4.4 on Awards Limitations. Authors of multi-robot systems papers are encouraged to include keywords related to multi-robot systems in their keyword list to help the ICRA Awards Committee identify papers to consider for the award.
Basis for Judging: A selection committee will be appointed by the ICRA Awards Committee with members who have appropriate expertise in the field of multi-robot systems. The RAS Technical Committee on Multi-Robot Systems is the technical cosponsor for this award and is available to assist in recommending members for the selection committee. Papers are judged based on technical merit, originality, relevance to multi-robot systems, potential impact on the field, clarity of the written paper, and quality of the conference presentation.
Presentation: The award will be announced and presented at the same IEEE ICRA conference.
2025
He Jiang, Yutong Wang, Rishi Veerapaneni, Tanishq Harish Duhan, Guillaume Adrien Sartoretti, and Jiaoyang Li
“Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding”
For advancing learning-based path planning by scaling to huge robot systems, and demonstrating rigor by comparison to prior methods and testing in extensive simulations and robot experiments.
2024
Jonas Kuckling, Robin Luckey, Viktor Avrutin, Andrew Vardy, Andreagiovanni Reina, and Heiko Hamann
“Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling“
2023
Mariliza Tzes, Nikolaos Bousias, Evangelos Chatzipantazis, and George J. Pappas
“Graph Neural Networks for Multi-Robot Active Information Acquisition”
2021
Chris (Yu Hsuan) Lee, Graeme Best and Geoffrey Hollinger
“Optimal Sequential Stochastic Deployment of Multiple Passenger Robots”
2020
Ola Shorinwa, Javier Yu, Trevor Halsted, Alex Koufos and Mac Schwager
“Distributed Multi-Target Tracking for Autonomous Vehicle Fleets”
2019
Hai Zhu, Jelle Juhl, Laura Ferranti, and Javier Alonso-Mora
“Distributed Multi-Robot Formation Splitting and Merging in Dynamic Environments”
2018
Joshua Mangelson, Derrick Dominic, Ryan Eustice, Ram Vasudevan
“Pairwise Consistent Measurement Set Maximization for Robust Multi-robot Map Merging”
2017
Daniel Pickem, Paul Glotfelter, Li Wang, Mark Mote, Aaron Ames, Eric Feron, Magnus Egerstedt
“The Robotarium: A Remotely Accessible Swarm Robotics Research Testbed”
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