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
2020	Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter.	Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto
2020	Learning Stability Certificates from Data.	Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani
2020	Self-Supervised Object-in-Gripper Segmentation from Robotic Motions.	Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel
2020	The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning.	Jan Blumenkamp, Amanda Prorok
2020	Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following.	Valts Blukis, Ross A. Knepper, Yoav Artzi
2020	Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems.	Sushmita Bhattacharya, Siva Kailas, Sahil Badyal, Stephanie Gil, Dimitri P. Bertsekas
2020	Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection.	Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
2020	The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation.	Shurjo Banerjee, Jesse Thomason, Jason J. Corso
2020	Sim-to-Real Transfer for Vision-and-Language Navigation.	Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee
2020	Learning Vision-based Reactive Policies for Obstacle Avoidance.	Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer, Sami Haddadin
2020	ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing.	M. Tuluhan Akbulut, Erhan ztop, Muhammet Yunus Seker, Honghu Xue, Ahmet Ercan Tekden, Emre Ugur
2020	Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity.	William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Yubo Wang, Pedro Domingos, Siddhartha S. Srinivasa
2020	MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.	Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance
2020	Differentiable Logic Layer for Rule Guided Trajectory Prediction.	Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus
2020	Contrastive Variational Reinforcement Learning for Complex Observations.	Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
2020	Reactive motion planning with probabilisticsafety guarantees.	Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray
2019	End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds.	Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
2019	Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.	Weiming Zhi, Lionel Ott, Fabio Ramos
2019	Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors.	Yazhan Zhang, Weihao Yuan, Zicheng Kan, Michael Yu Wang
2019	Asynchronous Methods for Model-Based Reinforcement Learning.	Yunzhi Zhang, Ignasi Clavera, Boren Tsai, Pieter Abbeel
2019	Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.	Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, Sergey Levine
2019	Object-centric Forward Modeling for Model Predictive Control.	Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani
2019	Data Efficient Reinforcement Learning for Legged Robots.	Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani
2019	The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation.	Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
2019	Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real.	Zhaoming Xie, Patrick Clary, Jeremy Dao, Pedro Morais, Jonathan W. Hurst, Michiel van de Panne

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