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Machine Learning in Human-Robot Collaboration: Bridging the Gap

Published: 07 March 2022 Publication History

Abstract

This workshop aims to bring together researchers to explore and identify ways in which human-robot collaboration can reap the benefits of modern machine learning. The intended outcome is a roadmap that identifies key milestones that will lead us towards fluent effective human-robot teaming. In addition to focus groups and creative brainstorming exercises, this workshop will comprise invited talks, contributed paper talks, a poster session, and a debate. The papers, talks, posters, and roadmap will be made publicly available on our website: https://sites.google.com/view/mlhrc-hri-2022/home

References

[1]
Amir Aly, Andrea Bajcsy, Somil Bansal, Kim Baraka, Aude Billard, Angelo Cangelosi, Filipa Correia, Jaime Fernández-Fisac, Chelsea Finn, Tesca Fitzgerald, David Fridovich-Keil, Matthew Gombolay, Nakul Gopalan, Melissa Greeff, Sylvia Herbert, Shreyas Kousik, Stefanos Nikolaidis, Verena Nitsch, Srikanth Nouduri, Angela P. Schoellig, Athanasios Polydoros, Ransalu Senananayake, Reid Simmons, Harold Soh, and SiQi Zhou and. Robotics for people: Perspectives on interaction, learning, and safety. In Workshops of Robotics: Science and Systems XV. Robotics Science and Systems, 2021.
[2]
Aleksandra Kalinowska, Alexander Broad, Brenna Argall, Adam Zoss, and Todd Murphey. Ai and its alternatives for shared autonomy in assistive and collaborative robotics. In Workshops of Robotics: Science and Systems XV. Robotics Science and Systems, 2017.
[3]
Oren Salzman, Henny Admoni, Rebecca Khurshid, and Stefanos Nikolaidis. Mathematical models, algorithms, and human-robot interaction. In Workshops of Robotics: Science and Systems XIII. Robotics Science and Systems, 2017.

Cited By

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  • (2023)Robot, UninterruptedProceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568162.3576994(495-505)Online publication date: 13-Mar-2023

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cover image ACM Conferences
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
March 2022
1353 pages

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IEEE Press

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Published: 07 March 2022

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Author Tags

  1. human-robot interaction
  2. machine learning
  3. workshop

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HRI '22
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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

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  • (2023)Robot, UninterruptedProceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568162.3576994(495-505)Online publication date: 13-Mar-2023

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