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
2021	DiffImpact: Differentiable Rendering and Identification of Impact Sounds.	Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug L. James, Jeannette Bohg
2021	Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation.	Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora
2021	Structure from Silence: Learning Scene Structure from Ambient Sound.	Ziyang Chen, Xixi Hu, Andrew Owens
2021	Learning to Regrasp by Learning to Place.	Shuo Cheng, Kaichun Mo, Lin Shao
2021	The Boombox: Visual Reconstruction from Acoustic Vibrations.	Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick
2021	A System for General In-Hand Object Re-Orientation.	Tao Chen, Jie Xu, Pulkit Agrawal
2021	Specializing Versatile Skill Libraries using Local Mixture of Experts.	Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
2021	Learning Feasibility to Imitate Demonstrators with Different Dynamics.	Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh
2021	Learning Inertial Odometry for Dynamic Legged Robot State Estimation.	Russell Buchanan, Marco Camurri, Frank Dellaert, Maurice F. Fallon
2021	Self-Improving Semantic Perception for Indoor Localisation.	Hermann Blum, Francesco Milano, Ren Zurbrgg, Roland Siegwart, Cesar Cadena, Abel Gawel
2021	A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.	Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi
2021	Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion.	Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess
2021	ReSkin: versatile, replaceable, lasting tactile skins.	Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta
2021	STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation.	Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
2021	Auditing Robot Learning for Safety and Compliance during Deployment.	Homanga Bharadhwaj
2021	Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning.	Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme
2021	Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties.	Rika Antonova, Jeannette Bohg
2021	Dual-Arm Adversarial Robot Learning.	Elie Aljalbout
2021	Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation.	Firas Al-Hafez, Jochen J. Steil
2021	The Task Specification Problem.	Pulkit Agrawal
2021	Taskography: Evaluating robot task planning over large 3D scene graphs.	Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
2021	A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation.	Bernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam
2021	Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor.	Xiao Li, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus
2021	Visual-Locomotion: Learning to Walk on Complex Terrains with Vision.	Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang
2021	iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.	Chengshu Li, Fei Xia, Roberto Martn-Martn, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

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