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	ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting.	Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj, Sanjiban Choudhury
2023	Marginalized Importance Sampling for Off-Environment Policy Evaluation.	Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell
2023	A Data-efficient Neural ODE Framework for Optimal Control of Soft Manipulators.	Mohammadreza Mohades Kasaei, Keyhan Kouhkiloui Babarahmati, Zhibin Li, Mohsen Khadem
2023	STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience.	Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
2023	DEFT: Dexterous Fine-Tuning for Hand Policies.	Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak
2023	Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms.	Rianna M. Jitosho, Tyler Ga Wei Lum, Allison M. Okamura, C. Karen Liu
2023	Policy Stitching: Learning Transferable Robot Policies.	Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen
2023	DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation.	Sravan Jayanthi, Letian Chen, Nadya Balabanska, Van Duong, Erik Scarlatescu, Ezra Ameperosa, Zulfiqar Haider Zaidi, Daniel Martin, Taylor Keith Del Matto, Masahiro Ono, Matthew C. Gombolay
2023	Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy.	Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernndez Fisac
2023	REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation.	Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine
2023	What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery.	Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
2023	VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.	Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei
2023	DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control.	Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots
2023	Dynamic Handover: Throw and Catch with Bimanual Hands.	Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang
2023	Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities.	Pierce Howell, Max Rudolph, Reza Joseph Torbati, Kevin Fu, Harish Ravichandar
2023	Quantifying Assistive Robustness Via the Natural-Adversarial Frontier.	Jerry Zhi-Yang He, Daniel S. Brown, Zackory Erickson, Anca D. Dragan
2023	On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills.	Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar
2023	Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition.	Huy Ha, Pete Florence, Shuran Song
2023	Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play.	Irmak Gzey, Ben Evans, Soumith Chintala, Lerrel Pinto
2023	Stabilize to Act: Learning to Coordinate for Bimanual Manipulation.	Jennifer Grannen, Yilin Wu, Brandon Vu, Dorsa Sadigh
2023	RVT: Robotic View Transformer for 3D Object Manipulation.	Ankit Goyal, Jie Xu, Yijie Guo, Valts Blukis, Yu-Wei Chao, Dieter Fox
2023	Towards General Single-Utensil Food Acquisition with Human-Informed Actions.	Ethan Kroll Gordon, Amal Nanavati, Ramya Challa, Bernie Hao Zhu, Taylor Annette Kessler Faulkner, Siddhartha S. Srinivasa
2023	Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning.	Robert Gieselmann, Florian T. Pokorny
2023	Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.	Thophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki
2023	SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects.	Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

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