Conference on Robot Learning
CoRL
Unranked
CORE rank
CORE rank (raw)
Unranked
Fields of research
Artificial Intelligence · Machine Learning · Computer Vision and Multimedia Computation
Papers indexed
1,225
2017–2024
Papers per year
2017264 peak2024
Most published authors
CoRL papers
1,225 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Learning Transparent Reward Models via Unsupervised Feature Selection. | Daulet Baimukashev, Gokhan Alcan, Kevin Sebastian Luck, Ville Kyrki |
| 2024 | TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations. | Junik Bae, Kwanyoung Park, Youngwoon Lee |
| 2024 | Contrast Sets for Evaluating Language-Guided Robot Policies. | Abrar Anwar, Rohan Gupta, Jesse Thomason |
| 2024 | Fleet Supervisor Allocation: A Submodular Maximization Approach. | Oguzhan Akcin, Ahmet Ege Tanriverdi, Kaan Kale, Sandeep P. Chinchali |
| 2024 | Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. | Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg |
| 2024 | Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters. | Ahmed Agha, Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer |
| 2024 | Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics. | Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Snderhauf |
| 2024 | A3VLM: Actionable Articulation-Aware Vision Language Model. | Siyuan Huang, Haonan Chang, Yuhan Liu, Yimeng Zhu, Hao Dong, Abdeslam Boularias, Peng Gao, Hongsheng Li |
| 2024 | Harmon: Whole-Body Motion Generation of Humanoid Robots from Language Descriptions. | Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, Yuke Zhu |
| 2024 | TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction. | Yunfan Jiang, Chen Wang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei |
| 2024 | Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations. | Ruihan Zhao, Ufuk Topcu, Sandeep P. Chinchali, Mariano Phielipp |
| 2024 | Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. | Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson |
| 2024 | RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. | Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li |
| 2024 | Equivariant Diffusion Policy. | Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt |
| 2023 | RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. | Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han |
| 2023 | Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering. | Xinghao Zhu, Jinghan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao |
| 2023 | Learning to Drive Anywhere. | Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama |
| 2023 | Robot Parkour Learning. | Ziwen Zhuang, Zipeng Fu, Jianren Wang, Christopher G. Atkeson, Sren Schwertfeger, Chelsea Finn, Hang Zhao |
| 2023 | Learning Generalizable Manipulation Policies with Object-Centric 3D Representations. | Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu |
| 2023 | HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. | Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held |
| 2023 | Language-Guided Traffic Simulation via Scene-Level Diffusion. | Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray |
| 2023 | Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable. | Liangtao Zheng, Yicheng Liu, Yue Wang, Hang Zhao |
| 2023 | BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities. | Binyu Zhao, Wei Zhang, Zhaonian Zou |
| 2023 | Learning Human Contribution Preferences in Collaborative Human-Robot Tasks. | Michelle D. Zhao, Reid G. Simmons, Henny Admoni |
| 2023 | Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. | Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim |
251–275 of 1,225← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*AAAINational Conference of the American Association for Artificial Intelligence
- A*ICRAIEEE International Conference on Robotics and Automation
- AInterspeechInterspeech (combined EuroSpeech and ICSLP in 2000)
- AIROSIEEE/RSJ International Conference on Intelligent Robots and Systems
- A*ACLAssociation for Computational Linguistics
- A*IJCAIInternational Joint Conference on Artificial Intelligence
- A*EMNLPEmpirical Methods in Natural Language Processing
- AGECCOGenetic and Evolutionary Computations