Conference on Robot Learning

CoRL

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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	Stochastic Occupancy Grid Map Prediction in Dynamic Scenes.	Zhanteng Xie, Philip M. Dames
2023	ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation.	Zhou Xian, Nikolaos Gkanatsios, Thophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki
2023	Hijacking Robot Teams Through Adversarial Communication.	Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew C. Gombolay
2023	ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation.	Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Xiaoquan Wang, Rui Tang, Jian Pu
2023	Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning.	Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha
2023	CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation.	Youngsun Wi, Mark Van der Merwe, Pete Florence, Andy Zeng, Nima Fazeli
2023	Tuning Legged Locomotion Controllers via Safe Bayesian Optimization.	Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hbotter, Andreas Krause, Stelian Coros
2023	Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models.	Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
2023	Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation.	Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
2023	A Bayesian Approach to Robust Inverse Reinforcement Learning.	Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garca, Anthony D. McDonald, Mingyi Hong
2023	PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training.	Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang
2023	Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States.	Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie
2023	Improving Behavioural Cloning with Positive Unlabeled Learning.	Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Grtler, Felix Widmaier, Stephen J. Redmond
2023	A Policy Optimization Method Towards Optimal-time Stability.	Shengjie Wang, Lan Fengb, Xiang Zheng, Yuxue Cao, Oluwatosin OluwaPelumi Oseni, Haotian Xu, Tao Zhang, Yang Gao
2023	MimicPlay: Long-Horizon Imitation Learning by Watching Human Play.	Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar
2023	Measuring Interpretability of Neural Policies of Robots with Disentangled Representation.	Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
2023	BridgeData V2: A Dataset for Robot Learning at Scale.	Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine
2023	Few-Shot In-Context Imitation Learning via Implicit Graph Alignment.	Vitalis Vosylius, Edward Johns
2023	One-Shot Imitation Learning: A Pose Estimation Perspective.	Pietro Vitiello, Kamil Dreczkowski, Edward Johns
2023	HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation.	Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar, Jainil Ajmera, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg
2023	Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors.	Sushant Veer, Apoorva Sharma, Marco Pavone
2023	Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter.	Georgios Tziafas, Yucheng Xu, Arushi Goel, Mohammadreza Mohades Kasaei, Zhibin Li, Hamidreza Kasaei
2023	Towards Scalable Coverage-Based Testing of Autonomous Vehicles.	James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun
2023	PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining.	Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
2023	That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation.	Abitha Thankaraj, Lerrel Pinto

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