Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]

Autor: Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip Dames

Publikováno v: IEEE Robotics & Automation Magazine. 29:148-156

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e9a89ff3fd048f8515b610f5cc487197
https://doi.org/10.1109/mra.2022.3213466

Human-Interactive Robot Learning (HIRL)

Autor: Reuth Mirsky, Kim Baraka, Taylor Kessler Faulkner, Justin Hart, Harel Yedidsion, Xuesu Xiao

Publikováno v: 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI): [Proceedings], 1278-1280
STARTPAGE=1278;ENDPAGE=1280;TITLE=2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Mirsky, R, Baraka, K, Faulkner, T K, Hart, J, Yedidsion, H & Xiao, X 2022, Human-Interactive Robot Learning (HIRL) . in 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) : [Proceedings] . ACM/IEEE International Conference on Human-Robot Interaction, vol. 2022-March, IEEE Computer Society, pp. 1278-1280, 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022, Sapporo, Japan, 7/03/22 . https://doi.org/10.1109/HRI53351.2022.9889551

With robots poised to enter our daily environments, we conjecture that they will not only need to work for people, but also learn from them. An active area of investigation in the robotics, machine learning, and human-robot interaction communities is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::803551627e807396d48cb8d93ec1120c
https://doi.org/10.1109/hri53351.2022.9889551

DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments

Autor: Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, Peter Stone

Publikováno v: 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e60d96b1883e9d86d1bb357408ace374
https://doi.org/10.1109/ssrr56537.2022.10018758

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

Autor: Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, Peter Stone

Social navigation is the capability of an autonomous agent, such as a robot, to navigate in a 'socially compliant' manner in the presence of other intelligent agents such as humans. With the emergence of autonomously navigating mobile robots in human

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f152cd5dc105b6c92e49e887dce3f6

APPLR: Adaptive Planner Parameter Learning from Reinforcement

Autor: Garrett Warnell, Gauraang Dhamankar, Zizhao Wang, Xuesu Xiao, Anirudh Nair, Peter Stone, Bo Liu, Zifan Xu

Publikováno v: ICRA

Classical navigation systems typically operate using a fixed set of hand-picked parameters (e.g. maximum speed, sampling rate, inflation radius, etc.) and require heavy expert re-tuning in order to work in new environments. To mitigate this requireme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dabf6ef85e5089f5155a96b6b11179a
https://doi.org/10.1109/icra48506.2021.9561647