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	RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks.	Chris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox
2021	Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks.	Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn
2021	Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation.	Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martn-Martn
2021	Learning Reward Functions from Scale Feedback.	Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith
2021	LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks.	Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg
2021	Anomaly Detection in Multi-Agent Trajectories for Automated Driving.	Julian Wiederer, Arij Bouazizi, Marco Troina, Ulrich Kressel, Vasileios Belagiannis
2021	FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy.	Thomas Weng, Sujay Man Bajracharya, Yufei Wang, Khush Agrawal, David Held
2021	Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness.	Fang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, Chaoyang Song
2021	Adversarially Robust Imitation Learning.	Jianren Wang, Ziwen Zhuang, Yuyang Wang, Hang Zhao
2021	Probabilistic and Geometric Depth: Detecting Objects in Perspective.	Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin
2021	Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds.	Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox
2021	Equivariant Q Learning in Spatial Action Spaces.	Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt Jr.
2021	Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning.	Sean J. Wang, Samuel Triest, Wenshan Wang, Sebastian A. Scherer, Aaron M. Johnson
2021	Influencing Towards Stable Multi-Agent Interactions.	Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh
2021	Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration.	Chen Wang, Claudia Prez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese
2021	Group-based Motion Prediction for Navigation in Crowded Environments.	Allan Wang, Christoforos I. Mavrogiannis, Aaron Steinfeld
2021	Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.	Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
2021	DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries.	Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
2021	Learning Eye-in-Hand Camera Calibration from a Single Image.	Eugene Valassakis, Kamil Dreczkowski, Edward Johns
2021	Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.	James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021	Language Grounding with 3D Objects.	Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
2021	Social Interactions as Recursive MDPs.	Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu
2021	Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation.	Charles Sun, Jedrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine
2021	From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics.	Kaylene Caswell Stocking, Alison Gopnik, Claire J. Tomlin
2021	Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions.	Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager

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