---
title: "IROS (A): papers and universities"
description: "IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 3,575 of its papers from 2024–2026 (1,587 in 2024, 1,988 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from China (1,361), the United States (854) and Germany (321)."
url: https://scholar4ai.com/proceedings/iros
markdown_url: https://scholar4ai.com/proceedings/iros.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 3,575 of its papers from 2024–2026 (1,587 in 2024, 1,988 in 2025; 2026… (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# IROS: IEEE/RSJ International Conference on Intelligent Robots and Systems — papers and institutions, 2024–2026

Papers of IROS, IEEE/RSJ International Conference on Intelligent Robots and Systems (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.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 3,575 of its papers from 2024–2026 (1,587 in 2024, 1,988 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from China (1,361), the United States (854) and Germany (321).
- The institutions with the most papers are Tsinghua University (138), Shanghai Jiao Tong University (131) and Zhejiang University (123).
- Its most-cited paper of these years is “SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models” (2024), with 199 citations.

## Papers per year

*IROS papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 1,587 | 1,542 |
| 2025 | 1,988 | 1,956 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4393918188](https://openalex.org/S4393918188) | The conference's proceedings |

## Who publishes there

*Institutions with the most IROS papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 138 |
| 2 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 131 |
| 3 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 123 |
| 4 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 110 |
| 5 | Technical University of Munich | 109 |
| 6 | [Beijing Institute of Technology](https://scholar4ai.com/institutions/beijing-institute-of-technology.md) | 90 |
| 7 | Carnegie Mellon University | 87 |
| 8 | [Harbin Institute of Technology](https://scholar4ai.com/institutions/harbin-institute-of-technology.md) | 72 |
| 9 | Chinese University of Hong Kong | 59 |
| 10 | Massachusetts Institute of Technology | 56 |

*Countries with the most IROS papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 1,361 |
| 2 | United States | 854 |
| 3 | Germany | 321 |
| 4 | United Kingdom | 249 |
| 5 | Japan | 216 |
| 6 | Hong Kong | 152 |
| 7 | South Korea | 148 |
| 8 | Singapore | 109 |
| 9 | Italy | 105 |
| 10 | Switzerland | 97 |

*Keywords with the most IROS papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | human-robot interaction | 203 |
| 2 | robotic manipulation | 200 |
| 3 | autonomous driving | 170 |
| 4 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 126 |
| 5 | imitation learning | 124 |
| 6 | collision avoidance | 117 |
| 7 | obstacle avoidance | 107 |
| 8 | [reinforcement learning](https://scholar4ai.com/keywords/reinforcement-learning.md) | 96 |
| 9 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 89 |
| 10 | robot navigation | 86 |

## Most-cited papers

*Most-cited IROS papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 199 | [SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models](https://doi.org/10.1109/iros58592.2024.10802322) | 2024-10-14 | Shyam Sundar Kannan, Vishnunandan L. N. Venkatesh, Byung‐Cheol Min |
| 2 | 139 | [UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery](https://doi.org/10.1109/iros60139.2025.11246176) | 2025-10-19 | Huaxiang Zhang, Hao Zhang, Kai Liu et al. |
| 3 | 103 | [Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation](https://doi.org/10.1109/iros58592.2024.10801984) | 2024-10-14 | Tairan He, Zhengyi Luo, Wenli Xiao et al. |
| 4 | 97 | [GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators](https://doi.org/10.1109/iros58592.2024.10801581) | 2024-10-14 | Philipp Wu, Yide Shentu, Zhongke Yi et al. |
| 5 | 61 | [CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models](https://doi.org/10.1109/iros58592.2024.10801352) | 2024-10-14 | Haoxu Huang, Fanqi Lin, Yingdong Hu et al. |
| 6 | 46 | [Whole-body Humanoid Robot Locomotion with Human Reference](https://doi.org/10.1109/iros58592.2024.10801451) | 2024-10-14 | Qiang Zhang, Peter Cui, David Yan et al. |
| 7 | 45 | [Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers](https://doi.org/10.1109/iros58592.2024.10802813) | 2024-10-14 | Aleksandar Krnjaic, Raul D. Steleac, Jonathan Varghese Thomas et al. |
| 8 | 43 | [Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning](https://doi.org/10.1109/iros58592.2024.10801872) | 2024-10-14 | Shaohua Dong, Yunhe Feng, Qing Yang et al. |
| 9 | 42 | [SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving](https://doi.org/10.1109/iros58592.2024.10802143) | 2024-10-14 | Yiming Li, Sihang Li, Xinhao Liu et al. |
| 10 | 42 | [ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning](https://doi.org/10.1109/iros58592.2024.10802303) | 2024-10-14 | Yunfan Ren, Yixi Cai, Fangcheng Zhu et al. |

## Cite this page

Scholar4AI. (2026). IROS: IEEE/RSJ International Conference on Intelligent Robots and Systems — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/iros

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

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).