IEEE ICRA Best Paper Award on Multi-Robot Systems (sponsored by Amazon Robotics)
About the Award
Description: This award recognizes the best paper on Multi-Robot Systems presented at the IEEE International Conference on Robotics and Automation (ICRA).
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.
Winners of this Award
Ola Shorinwa, Javier Yu, Trevor Halsted, Alex Koufos and Mac Schwager
"Distributed Multi-Target Tracking for Autonomous Vehicle Fleets"
Hai Zhu, Jelle Juhl, Laura Ferranti, and Javier Alonso-Mora
"Distributed Multi-Robot Formation Splitting and Merging in Dynamic Environments"
Joshua Mangelson, Derrick Dominic, Ryan Eustice, Ram Vasudevan
"Pairwise Consistent Measurement Set Maximization for Robust Multi-robot Map Merging"
Daniel Pickem, Paul Glotfelter, Li Wang, Mark Mote, Aaron Ames, Eric Feron, Magnus Egerstedt
"The Robotarium: A Remotely Accessible Swarm Robotics Research Testbed"