Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024 Article Swipe
Xuesu Xiao
,
Zifan Xu
,
Aniket Datar
,
Garrett Warnell
,
Peter Stone
,
Joshua Julian Damanik
,
Jae-Won Jung
,
Chala Adane Deresa
,
Than Duc Huy
,
Jinyu Chen
,
Yichen Chen
,
Joshua Adrian Cahyono
,
Jingda Wu
,
Longfei Mo
,
Mingyang Lv
,
Bowen Lan
,
Qingyang Meng
,
Weizhi Tao
,
Li Cheng
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2407.01862
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2407.01862
The 3rd BARN (Benchmark Autonomous Robot Navigation) Challenge took place at the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024) in Yokohama, Japan and continued to evaluate the performance of state-of-the-art autonomous ground navigation systems in highly constrained environments. Similar to the trend in The 1st and 2nd BARN Challenge at ICRA 2022 and 2023 in Philadelphia (North America) and London (Europe), The 3rd BARN Challenge in Yokohama (Asia) became more regional, i.e., mostly Asian teams participated. The size of the competition has slightly shrunk (six simulation teams, four of which were invited to the physical competition). The competition results, compared to last two years, suggest that the field has adopted new machine learning approaches while at the same time slightly converged to a few common practices. However, the regional nature of the physical participants suggests a challenge to promote wider participation all over the world and provide more resources to travel to the venue. In this article, we discuss the challenge, the approaches used by the three winning teams, and lessons learned to direct future research and competitions.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2407.01862
- https://arxiv.org/pdf/2407.01862
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400373870
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400373870Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2407.01862Digital Object Identifier
- Title
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Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-02Full publication date if available
- Authors
-
Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jae-Won Jung, Chala Adane Deresa, Than Duc Huy, Jinyu Chen, Yichen Chen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li ChengList of authors in order
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https://arxiv.org/abs/2407.01862Publisher landing page
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https://arxiv.org/pdf/2407.01862Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2407.01862Direct OA link when available
- Concepts
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Barn, Artificial intelligence, Geography, Computer science, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.lessons | 173 |
| abstract_inverted_index.machine | 114 |
| abstract_inverted_index.promote | 141 |
| abstract_inverted_index.provide | 149 |
| abstract_inverted_index.suggest | 107 |
| abstract_inverted_index.systems | 36 |
| abstract_inverted_index.winning | 170 |
| abstract_inverted_index.America) | 60 |
| abstract_inverted_index.However, | 129 |
| abstract_inverted_index.Robotics | 17 |
| abstract_inverted_index.Yokohama | 69 |
| abstract_inverted_index.article, | 159 |
| abstract_inverted_index.compared | 102 |
| abstract_inverted_index.evaluate | 28 |
| abstract_inverted_index.learning | 115 |
| abstract_inverted_index.physical | 97, 135 |
| abstract_inverted_index.regional | 131 |
| abstract_inverted_index.research | 178 |
| abstract_inverted_index.results, | 101 |
| abstract_inverted_index.slightly | 85, 122 |
| abstract_inverted_index.suggests | 137 |
| abstract_inverted_index.(Europe), | 63 |
| abstract_inverted_index.Challenge | 7, 51, 67 |
| abstract_inverted_index.Yokohama, | 23 |
| abstract_inverted_index.challenge | 139 |
| abstract_inverted_index.continued | 26 |
| abstract_inverted_index.converged | 123 |
| abstract_inverted_index.regional, | 73 |
| abstract_inverted_index.resources | 151 |
| abstract_inverted_index.(Benchmark | 3 |
| abstract_inverted_index.Automation | 19 |
| abstract_inverted_index.Autonomous | 4 |
| abstract_inverted_index.Conference | 15 |
| abstract_inverted_index.approaches | 116, 165 |
| abstract_inverted_index.autonomous | 33 |
| abstract_inverted_index.challenge, | 163 |
| abstract_inverted_index.navigation | 35 |
| abstract_inverted_index.practices. | 128 |
| abstract_inverted_index.simulation | 88 |
| abstract_inverted_index.Navigation) | 6 |
| abstract_inverted_index.competition | 83, 100 |
| abstract_inverted_index.constrained | 39 |
| abstract_inverted_index.performance | 30 |
| abstract_inverted_index.Philadelphia | 58 |
| abstract_inverted_index.participants | 136 |
| abstract_inverted_index.International | 14 |
| abstract_inverted_index.competition). | 98 |
| abstract_inverted_index.competitions. | 180 |
| abstract_inverted_index.environments. | 40 |
| abstract_inverted_index.participated. | 78 |
| abstract_inverted_index.participation | 143 |
| abstract_inverted_index.state-of-the-art | 32 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 19 |
| citation_normalized_percentile |