CoRL

Publications

2023

Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. CoRL (2023)
Dhruv Shah, Michael Robert Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. CoRL (2023)
Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. CoRL (2023)
Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRL (2023)
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRL (2023)
Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRL (2023)
Robert Gieselmann, Florian T. Pokorny
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning. CoRL (2023)
Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh
Gesture-Informed Robot Assistance via Foundation Models. CoRL (2023)
Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRL (2023)
Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRL (2023)
Gaurav Datta, Ryan Hoque, Anrui Gu, Eugen Solowjow, Ken Goldberg
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors. CoRL (2023)
Shengjie Wang, Lan Fengb, Xiang Zheng, Yuxue Cao, Oluwatosin OluwaPelumi Oseni, Haotian Xu, Tao Zhang, Yang Gao
A Policy Optimization Method Towards Optimal-time Stability. CoRL (2023)
Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony D. McDonald, Mingyi Hong
A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRL (2023)
Xiaoyu Zhang, Saurabh Gupta
Push Past Green: Learning to Look Behind Plant Foliage by Moving It. CoRL (2023)
Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme
Learning Robot Manipulation from Cross-Morphology Demonstration. CoRL (2023)
Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Compositional Diffusion-Based Continuous Constraint Solvers. CoRL (2023)
Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak
DEFT: Dexterous Fine-Tuning for Hand Policies. CoRL (2023)
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRL (2023)
Shizhe Chen, Ricardo Garcia Pinel, Cordelia Schmid, Ivan Laptev
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRL (2023)
Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
One-shot Imitation Learning via Interaction Warping. CoRL (2023)
Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL (2023)
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
General In-hand Object Rotation with Vision and Touch. CoRL (2023)
James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun
Towards Scalable Coverage-Based Testing of Autonomous Vehicles. CoRL (2023)
Amin Abyaneh, Hsiu-Chin Lin
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation. CoRL (2023)
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj S. Narang, Linxi Fan, Yuke Zhu, Dieter Fox
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations. CoRL (2023)
Yi-Rong Chen, Ching-Yu Tseng, Yi-Syuan Liou, Tsung-Han Wu, Winston H. Hsu
Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth. CoRL (2023)
Jiyong Ahn, Sanghyeon Son, Dongryung Lee, Jisu Han, Dongwon Son, Beomjoon Kim
Preference learning for guiding the tree search in continuous POMDPs. CoRL (2023)
Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, Carme Torras
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees. CoRL (2023)
Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRL (2023)
Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce Walker, Jie Tan, Greg Turk, Sehoon Ha
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRL (2023)
Yen-Ling Tai, Yu Chien Chiu, Yu-Wei Chao, Yi-Ting Chen
SCONE: A Food Scooping Robot Learning Framework with Active Perception. CoRL (2023)
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
Geometry Matching for Multi-Embodiment Grasping. CoRL (2023)
Matan Sudry, Tom Jurgenson, Aviv Tamar, Erez Karpas
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model. CoRL (2023)
Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. CoRL (2023)
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRL (2023)
Xinghao Zhu, JingHan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering. CoRL (2023)
Zeyi Liu, Arpit Bahety, Shuran Song
REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction. CoRL (2023)
Sushant Veer, Apoorva Sharma, Marco Pavone
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRL (2023)
Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer. CoRL (2023)
Hai Huu Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato
Equivariant Reinforcement Learning under Partial Observability. CoRL (2023)
Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training. CoRL (2023)
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Online Learning for Obstacle Avoidance. CoRL (2023)
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRL (2023)
Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song
XSkill: Cross Embodiment Skill Discovery. CoRL (2023)
Manav Kulshrestha, Ahmed H. Qureshi
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. CoRL (2023)
Robert Gieselmann, Florian T. Pokorny
Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning. CoRL (2023)
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
BridgeData V2: A Dataset for Robot Learning at Scale. CoRL (2023)
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRL (2023)

volume 229, 2023

Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA. CoRL 229 (2023)

volume 205, 2023

Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand. CoRL 205 (2023)