Conference on Robot Learning

CoRL

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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	Safe Driving via Expert Guided Policy Optimization.	Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
2021	Risk-Averse Zero-Order Trajectory Optimization.	Marin Vlastelica P., Sebastian Blaes, Cristina Pinneri, Georg Martius
2021	Predicting Stable Configurations for Semantic Placement of Novel Objects.	Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox
2021	Learning Multi-Stage Tasks with One Demonstration via Self-Replay.	Norman Di Palo, Edward Johns
2021	Generalised Task Planning with First-Order Function Approximation.	Jun Hao Alvin Ng, Ronald P. A. Petrick
2021	Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation.	Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn
2021	Learning Multimodal Rewards from Rankings.	Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh
2021	Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations.	Michael Murray, Nick Walker, Amal Nanavati, Patrcia Alves-Oliveira, Nikita Filippov, Allison Saupp, Bilge Mutlu, Maya Cakmak
2021	Neural Posterior Domain Randomization.	Fabio Muratore, Theo Gruner, Florian Wiese, Boris Belousov, Michael Gienger, Jan Peters
2021	LENS: Localization enhanced by NeRF synthesis.	Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle
2021	O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning.	Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas
2021	IMU-Assisted Learning of Single-View Rolling Shutter Correction.	Jiawei Mo, Md Jahidul Islam, Junaed Sattar
2021	Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks.	Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss
2021	Learning Density Distribution of Reachable States for Autonomous Systems.	Yue Meng, Dawei Sun, Zeng Qiu, Md Tawhid Bin Waez, Chuchu Fan
2021	Guided Imitation of Task and Motion Planning.	Michael James McDonald, Dylan Hadfield-Menell
2021	Learning to Jump from Pixels.	Gabriel B. Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal
2021	What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.	Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martn-Martn
2021	DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video.	Priyanka Mandikal, Kristen Grauman
2021	Aligning an optical interferometer with beam divergence control and continuous action space.	Stepan Makarenko, Dmitry Igorevich Sorokin, Alexander E. Ulanov, Alexander I. Lvovsky
2021	AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.	Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
2021	Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation.	I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
2021	Robot Reinforcement Learning on the Constraint Manifold.	Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2021	V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects.	Xingyu Liu, Kris M. Kitani
2021	Dealing with the Unknown: Pessimistic Offline Reinforcement Learning.	Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan
2021	Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events.	Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari

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