Conference on Robot Learning

CoRL

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CORE rank

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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
2021	RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced Robots.	Qinjie Lin, Guo Ye, Jiayi Wang, Han Liu
2021	Learning Visible Connectivity Dynamics for Cloth Smoothing.	Xingyu Lin, Yufei Wang, Zixuan Huang, David Held
2021	3D Neural Scene Representations for Visuomotor Control.	Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
2021	Embodied Semantic Scene Graph Generation.	Xinghang Li, Di Guo, Huaping Liu, Fuchun Sun
2021	Understanding the World Through Action.	Sergey Levine
2021	Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.	Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
2021	Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.	Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu
2021	Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes.	Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Mller, Rudolph Triebel
2021	Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.	Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jos Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
2021	Parallelised Diffeomorphic Sampling-based Motion Planning.	Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2021	Learning Model Preconditions for Planning with Multiple Models.	Alex Licari LaGrassa, Oliver Kroemer
2021	A Workflow for Offline Model-Free Robotic Reinforcement Learning.	Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine
2021	SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo.	Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland
2021	TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo.	Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers
2021	SCAPE: Learning Stiffness Control from Augmented Position Control Experiences.	Mincheol Kim, Scott Niekum, Ashish D. Deshpande
2021	Stochastic Policy Optimization with Heuristic Information for Robot Learning.	Seonghyun Kim, Ingook Jang, Samyeul Noh, Hyunseok Kim
2021	LILA: Language-Informed Latent Actions.	Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh
2021	My House, My Rules: Learning Tidying Preferences with Graph Neural Networks.	Ivan Kapelyukh, Edward Johns
2021	Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots.	Katie Kang, Gregory Kahn, Sergey Levine
2021	Scaling Up Multi-Task Robotic Reinforcement Learning.	Dmitry Kalashnikov, Jake Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman
2021	Back to Reality for Imitation Learning.	Edward Johns
2021	Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views.	Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan
2021	Geometry-aware Bayesian Optimization in Robotics using Riemannian Matrn Kernels.	Nomie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo
2021	BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.	Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn
2021	Distributional Depth-Based Estimation of Object Articulation Models.	Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum

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