CoRL

Compositional Diffusion-Based Continuous Constraint Solvers

Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Journal ref Proceedings of CoRL 2023

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

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

Comments Conference on Robot Learning (CoRL) 2023, Oral Presentation

Language-Conditioned Path Planning

Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James

Comments Conference on Robot Learning, 2023

SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects

Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

Journal ref Conference on Robot Learning (CoRL), 2023

On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills

Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar

Comments This work has been accepted for an oral presentation at CORL 2023

CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

Comments Acceptted to CoRL 2022

Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning

Jan Achterhold, Markus Krimmel, Joerg Stueckler

Comments Project website (including video) is available at https://seads.is.tue.mpg.de/. (v2) Accepted for publication at the 6th Conference on Robot Learning (CoRL) 2022, Auckland, New Zealand. (v3) Added details on checkpointing (S.8.1), with references on p.7, p.8, p.21 to clarify number of env. steps of reported results

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation

Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held

Comments Published at the Conference on Robot Learning (CoRL 2022)

Meta-Learning Priors for Safe Bayesian Optimization

Jonas Rothfuss, Christopher Koenig, Alisa Rupenyan, Andreas Krause

Comments Conference on Robot Learning (CoRL) 2022

Masked World Models for Visual Control

Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel

Comments Project website: https://sites.google.com/view/mwm-rl. Accepted to CoRL 2022

You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example

Walter Goodwin, Ioannis Havoutis, Ingmar Posner

Comments 16 pages, 6 figures, CoRL 2022

Towards Long-Tailed 3D Detection

Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong

Comments This work has been accepted to the Conference on Robot Learning (CoRL) 2022

StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects

Weiyu Liu, Yilun Du, Tucker Hermans, Sonia Chernova, Chris Paxton

Comments Accepted to Robotics: Science and Systems (RSS) 2023. The previous version appeared in CoRL Workshop on Language and Robot Learning 2022

Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks

Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine

Comments CoRL 2022

Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following

Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

Comments CoRL 2022

Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels

Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Rozo

Comments Source code: https://github.com/NoemieJaquier/MaternGaBO, Video: https://youtu.be/6awfFRqP7wA

Journal ref Conference on Robot Learning, 2021

Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward

Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen

Comments 11 pages, 5 figures, CoRL 2022

VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors

Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu

Comments Published at the 6th Conference on Robot Learning

Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection

Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep Chinchali

Comments Accepted to CoRL 2022

Model-Based Inverse Reinforcement Learning from Visual Demonstrations

Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier

Comments Accepted at the 4th Conference on Robotic Learning (CoRL 2020), Cambridge MA, USA

Journal ref Proceedings of the 2020 Conference on Robot Learning, PMLR 155:1930-1942, 2021

CoRL: Environment Creation and Management Focused on System Integration

Justin D. Merrick, Benjamin K. Heiner, Cameron Long, Brian Stieber, Steve Fierro, Vardaan Gangal, Madison Blake, Joshua Blackburn

Comments for code, see CoRL" target="_blank" rel="noopener">https://github.com/act3-ace/CoRL

LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation

Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari

Journal ref CoRL 2022 https://openreview.net/forum?id=abd_D-iVjk0

Deep Model Predictive Control

Prabhat K. Mishra, Mateus V. Gasparino, Andres E. B. Velasquez, Girish Chowdhary

Comments arXiv admin note: text overlap with arXiv:2104.07171

Journal ref Conference on Robot Learning (CoRL'22): Workshop on Learning to Adapt and Improve in the Real World, 2022

Concept Learning for Interpretable Multi-Agent Reinforcement Learning

Renos Zabounidis, Joseph Campbell, Simon Stepputtis, Dana Hughes, Katia Sycara

Comments Accepted to the 6th Conference on Robot Learning (CoRL 2022), Auckland, New Zealand

COACH: Cooperative Robot Teaching

Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu

Comments CoRL 2022

Generative Category-Level Shape and Pose Estimation with Semantic Primitives

Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang

Comments CoRL 2022, 18 pages, 13 figures, typos corrected, references added

Data-Efficient Model Learning for Control with Jacobian-Regularized Dynamic-Mode Decomposition}

Brian E. Jackson, Jeong Hun Lee, Kevin Tracy, Zachary Manchester

Journal ref Conference on Robot Learning (CoRL) 2022, Auckland, New Zealand

RAP: Risk-Aware Prediction for Robust Planning

Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan McAllister, Adrien Gaidon

Comments 22 pages, 14 figures, 3 tables. First two authors contributed equally. Conference on Robot Learning (CoRL) 2022 (oral)

Discriminator-Guided Model-Based Offline Imitation Learning

Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan

Comments This work has been accepted by CoRL 2022

TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories

Jannik Zürn, Sebastian Weber, Wolfram Burgard

Comments 19 pages, 14 figures, CoRL 2022 v4 (updated acknowledgements)