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	AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer.	Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar
2023	Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping.	Adam Rashid, Satvik Sharma, Chung Min Kim, Justin Kerr, Lawrence Yunliang Chen, Angjoo Kanazawa, Ken Goldberg
2023	SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.	Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Snderhauf
2023	MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning.	Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
2023	Robot Learning with Sensorimotor Pre-training.	Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik
2023	General In-hand Object Rotation with Vision and Touch.	Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
2023	Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference.	Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans
2023	Predicting Routine Object Usage for Proactive Robot Assistance.	Maithili Patel, Aswin Gururaj Prakash, Sonia Chernova
2023	SLAP: Spatial-Language Attention Policies.	Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton
2023	TactileVAD: Geometric Aliasing-Aware Dynamics for High-Resolution Tactile Control.	Miquel Oller, Dmitry Berenson, Nima Fazeli
2023	Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing.	Jingyun Ning, Madhur Behl
2023	Equivariant Reinforcement Learning under Partial Observability.	Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato
2023	Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.	Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine
2023	Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models.	Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu
2023	Large Language Models as General Pattern Machines.	Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng
2023	Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards.	Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald
2023	Embodied Lifelong Learning for Task and Motion Planning.	Jorge Mendez-Mendez, Leslie Pack Kaelbling, Toms Lozano-Prez
2023	Contrastive Value Learning: Implicit Models for Simple Offline RL.	Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
2023	HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs.	Esteve Valls Mascaro, Daniel Sliwowski, Dongheui Lee
2023	Learning to See Physical Properties with Active Sensing Motor Policies.	Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal
2023	Learning Reusable Manipulation Strategies.	Jiayuan Mao, Toms Lozano-Prez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.	Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj Narang, Linxi Fan, Yuke Zhu, Dieter Fox
2023	Human-in-the-Loop Task and Motion Planning for Imitation Learning.	Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu, Dieter Fox
2023	FindThis: Language-Driven Object Disambiguation in Indoor Environments.	Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas
2023	Task-Oriented Koopman-Based Control with Contrastive Encoder.	Xubo Lyu, Hanyang Hu, Seth Siriya, Ye Pu, Mo Chen

351–375 of 1,225← Previous Next →

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