Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

ICRA: IEEE International Conference on Robotics and Automation — papers and institutions, 2024–2026

Papers of ICRA, IEEE International Conference on Robotics and Automation (CORE rank A*; field: Artificial intelligence, Computer science (general)), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • ICRA (IEEE International Conference on Robotics and Automation) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 5,147 of its papers from 2024–2026 (1,766 in 2024, 1,610 in 2025, 1,771 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (1,862), China (1,507) and Germany (438).
  • The institutions with the most papers are Carnegie Mellon University (201), Tsinghua University (189) and Technical University of Munich (142).
  • Its most-cited paper of these years is “ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning” (2024), with 290 citations.

Papers per year#

ICRA papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20241,7661,714
20251,6101,579
20261,7711,715

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4210217939The conference's proceedings

Who publishes there#

Institutions with the most ICRA papers, 2024–2026
#InstitutionPapers
1Carnegie Mellon University201
2Tsinghua University189
3Technical University of Munich142
4Shanghai Jiao Tong University140
5Massachusetts Institute of Technology138
6Zhejiang University120
7Chinese Academy of Sciences117
8Chinese University of Hong Kong95
9Georgia Institute of Technology92
10University of California, Berkeley90
Countries with the most ICRA papers, 2024–2026
#CountryPapers
1United States1,862
2China1,507
3Germany438
4United Kingdom344
5South Korea237
6Hong Kong227
7Japan185
8Canada163
9Singapore155
10Switzerland139
Keywords with the most ICRA papers, 2024–2026
#KeywordPapers
1robotic manipulation389
2human-robot interaction292
3autonomous driving256
4collision avoidance164
5imitation learning161
6robot navigation157
7vision-language models156
8large language models150
9sim-to-real transfer148
10reinforcement learning147

Most-cited papers#

Most-cited ICRA papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
1290ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning2024-05-13Qiao Gu, Alihusein Kuwajerwala, Sacha Morin et al.
2214HIC-YOLOv5: Improved YOLOv5 For Small Object Detection2024-05-13Shiyi Tang, Shu Zhang, Yini Fang
3198Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 02024-05-13Abby O'Neill, Abdul Rehman, Abhiram Maddukuri et al.
4190Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving2024-05-13Long Chen, Oleg Sinavski, Jan Hünermann et al.
5180RoCo: Dialectic Multi-Robot Collaboration with Large Language Models2024-05-13Zhao Mandi, Shreeya Jain, Shuran Song
6176Extreme Parkour with Legged Robots2024-05-13Xuxin Cheng, Kexin Shi, Ananye Agarwal et al.
7154VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation2024-05-13Naoki Yokoyama, Sehoon Ha, Dhruv Batra et al.
8139NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration2024-05-13Ajay Sridhar, Dhruv Shah, Catherine Glossop et al.
9112Physically Grounded Vision-Language Models for Robotic Manipulation2024-05-13Jensen Gao, Bidipta Sarkar, Fei Xia et al.
1099AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers2024-05-13Yongchao Chen, Jacob Arkin, Charles Dawson et al.

Conferences in the same field#

AAAI · EMNLP · ACL · IJCAI · HRI · DAC · ISCA · EC · HPCA · KR · ICAPS · MICRO · IROS · Interspeech · NAACL · AAMAS · CIKM · DATE · ECAI · EACL · SC · GECCO · IPDPS · ICS · ICCAD · DSN · ISLPED · HPDC · ITC · FPGA · IJCAR · CP · SAT · CADE · FOGA

Cite this page

Scholar4AI. (2026). ICRA: IEEE International Conference on Robotics and Automation — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/icra

@misc{scholar4ai-proceedings-icra,
  author = {{Scholar4AI}},
  title = {ICRA: IEEE International Conference on Robotics and Automation — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/icra}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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