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	Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration.	Lanke Frank Tarimo Fu, Maurice F. Fallon
2023	Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning.	Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Gnnemann, Rudolph Triebel
2023	Finetuning Offline World Models in the Real World.	Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang
2023	AR2-D2: Training a Robot Without a Robot.	Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna
2023	How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations.	Franck Djeumou, Cyrus Neary, Ufuk Topcu
2023	Energy-based Potential Games for Joint Motion Forecasting and Control.	Christopher Diehl, Tobias Klosek, Martin Krger, Nils Murzyn, Timo Osterburg, Torsten Bertram
2023	Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control.	David DeFazio, Eisuke Hirota, Shiqi Zhang
2023	Parting with Misconceptions about Learning-based Vehicle Motion Planning.	Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta
2023	IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors.	Gaurav Datta, Ryan Hoque, Anrui Gu, Eugen Solowjow, Ken Goldberg
2023	An Unbiased Look at Datasets for Visuo-Motor Pre-Training.	Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta
2023	Imitating Task and Motion Planning with Visuomotor Transformers.	Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox
2023	Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation.	Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu
2023	Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth.	Yi-Rong Chen, Ching-Yu Tseng, Yi-Syuan Liou, Tsung-Han Wu, Winston H. Hsu
2023	PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation.	Shizhe Chen, Ricardo Garcia, Cordelia Schmid, Ivan Laptev
2023	Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.	Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell
2023	PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play.	Lili Chen, Shikhar Bahl, Deepak Pathak
2023	Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.	Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine
2023	A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots.	Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell
2023	Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs.	Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias
2023	Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees.	Edoardo Caldarelli, Antoine Chatalic, Adri Colom, Lorenzo Rosasco, Carme Torras
2023	One-shot Imitation Learning via Interaction Warping.	Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
2023	Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation.	Harel Biggie, Ajay Narasimha Mopidevi, Dusty Woods, Christoffer R. Heckman
2023	Simultaneous Learning of Contact and Continuous Dynamics.	Bibit Bianchini, Mathew Halm, Michael Posa
2023	Surrogate Assisted Generation of Human-Robot Interaction Scenarios.	Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
2023	HYDRA: Hybrid Robot Actions for Imitation Learning.	Suneel Belkhale, Yuchen Cui, Dorsa Sadigh

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