Conference on Robot Learning

CoRL

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CORE rank

CORE rank (raw)

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Fields of research

Artificial Intelligence · Machine Learning · Computer Vision and Multimedia Computation

Papers indexed

1,225

2017–2024

Best Artificial Intelligence conferences Best Machine Learning conferences Best Computer Vision conferences

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
2023	Language Conditioned Traffic Generation.	Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krhenbhl
2023	SayTap: Language to Quadrupedal Locomotion.	Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada
2023	SCONE: A Food Scooping Robot Learning Framework with Active Perception.	Yen-Ling Tai, Yu Chien Chiu, Yu-Wei Chao, Yi-Ting Chen
2023	KITE: Keypoint-Conditioned Policies for Semantic Manipulation.	Priya Sundaresan, Suneel Belkhale, Dorsa Sadigh, Jeannette Bohg
2023	Learning Sequential Acquisition Policies for Robot-Assisted Feeding.	Priya Sundaresan, Jiajun Wu, Dorsa Sadigh
2023	Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching.	H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake
2023	Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model.	Matan Sudry, Tom Jurgenson, Aviv Tamar, Erez Karpas
2023	Open-World Object Manipulation using Pre-Trained Vision-Language Models.	Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman
2023	FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing.	Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine
2023	Online Learning for Obstacle Avoidance.	David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
2023	Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.	Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox
2023	RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools.	Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu
2023	Waypoint-Based Imitation Learning for Robotic Manipulation.	Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn
2023	Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation.	William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola
2023	Semantic Mechanical Search with Large Vision and Language Models.	Satvik Sharma, Huang Huang, Kaushik Shivakumar, Lawrence Yunliang Chen, Ryan Hoque, Brian Ichter, Ken Goldberg
2023	Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning.	Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn
2023	ViNT: A Foundation Model for Visual Navigation.	Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine
2023	MUTEX: Learning Unified Policies from Multimodal Task Specifications.	Rutav Shah, Roberto Martn-Martn, Yuke Zhu
2023	Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning.	Dhruv Shah, Michael Robert Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine
2023	Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks.	Clemens Schwarke, Victor Klemm, Matthijs van der Boon, Marko Bjelonic, Marco Hutter
2023	Multi-Resolution Sensing for Real-Time Control with Vision-Language Models.	Saumya Saxena, Mohit Sharma, Oliver Kroemer
2023	Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation.	Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
2023	Learning Robot Manipulation from Cross-Morphology Demonstration.	Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme
2023	Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills.	Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris
2023	Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners.	Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar

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