The Conference on Robot Learning (CoRL) has seen a significant surge in paper submissions, particularly for its 2026 edition, which received 687 papers compared to previous years' averages of around 200. This growth indicates a heightened interest and acceleration in robotics and machine learning research. While the United States has historically dominated CoRL submissions, its share has decreased from 76% in 2021 to 51% in 2026, with China's contribution rising sharply from 5.9% to 37.5% in the same period. Notably, Chinese universities like Tsinghua University have surpassed established institutions such as CMU and Stanford in paper count for the 2026 conference. AI
IMPACT Indicates a growing global interest and research acceleration in robotics and machine learning.
RANK_REASON The item discusses trends and statistics of academic papers submitted to a top-tier academic conference, including institutional and national contributions. [lever_c_demoted from research: ic=1 ai=0.7]
- Austin
- China
- CMU
- Conference Explorers
- Daegu Gyeongbuk Institute of Science and Technology
- Leiphone
- OpenReview
- Paper Copilot
- Peking University
- Proceedings of Machine Learning Research
- Shanghai Jiao Tong University
- Stanford University
- Texas
- Tsinghua University
- United States
- University of California, Los Angeles
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