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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 conferencesBest Machine Learning conferencesBest 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.

YearTitleAuthors
2024Legolas: Deep Leg-Inertial Odometry.Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta
2024DYixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li
2024Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka
2024GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy.Yixuan Wang, Guang Yin, Binghao Huang, Tarik Kelestemur, Jiuguang Wang, Yunzhu Li
2024Lessons from Learning to Spin "Pens".Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang
2024Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation.Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang
2024I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences.Zihan Wang, Brian Liang, Varad Dhat, Zander Brumbaugh, Nick Walker, Ranjay Krishna, Maya Cakmak
2024MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking.Huaxiaoyue Wang, Kushal Kedia, Juntao Ren, Rahma Abdullah, Atiksh Bhardwaj, Angela Chao, Kelly Y. Chen, Nathaniel Chin, Prithwish Dan, Xinyi Fan, Gonzalo Gonzalez-Pumariega, Aditya Kompella, Maximus Adrian Pace, Yash Sharma, Xiangwan Sun, Neha Sunkara, Sanjiban Choudhury
2024Discovering Robotic Interaction Modes with Discrete Representation Learning.Liquan Wang, Ankit Goyal, Haoping Xu, Animesh Garg
2024HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation.Jin Wang, Rui Dai, Weijie Wang, Luca Rossini, Francesco Ruscelli, Nikos G. Tsagarakis
2024Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping.Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas J. Guibas
2024EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving.Siyue Wang, Zhaorun Chen, Zhuokai Zhao, Chaoli Mao, Yiyang Zhou, Jiayu He, Albert Sibo Hu
2024APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs.Huaxiaoyue Wang, Nathaniel Chin, Gonzalo Gonzalez-Pumariega, Xiangwan Sun, Neha Sunkara, Maximus Adrian Pace, Jeannette Bohg, Sanjiban Choudhury
2024ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning.Yizhuo Wang, Yuhong Cao, Jimmy Chiun, Subhadeep Koley, Mandy Pham, Guillaume Adrien Sartoretti
2024JointMotion: Joint Self-Supervision for Joint Motion Prediction.Royden Wagner, mer Sahin Tas, Marvin Klemp, Carlos Fernndez
2024Towards Open-World Grasping with Large Vision-Language Models.Georgios Tziafas, Hamidreza Kasaei
2024Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation.Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, David D. Fan, Wenshan Wang, Sebastian A. Scherer
2024Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning.Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess
2024View-Invariant Policy Learning via Zero-Shot Novel View Synthesis.Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Campagnolo Guizilini, Jiajun Wu
2024Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone
2024DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.Xiaoyu Tian, Junru Gu, Bailin Li, Yicheng Liu, Yang Wang, Zhiyong Zhao, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao
2024Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction.Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff
2024Promptable Closed-loop Traffic Simulation.Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krhenbhl, Marco Pavone
2024RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal
2024Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild.Kyle Stachowicz, Lydia Ignatova, Sergey Levine
51–75 of 1,225← PreviousNext →

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