CoRL

FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy

Thomas Weng, Sujay Bajracharya, Yufei Wang, Khush Agrawal, David Held

Comments CoRL 2021

LEO: Learning Energy-based Models in Factor Graph Optimization

Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess

Comments Accepted to Conference on Robot Learning (CoRL) 2021. 19 pages, 13 figures

Group-based Motion Prediction for Navigation in Crowded Environments

Allan Wang, Christoforos Mavrogiannis, Aaron Steinfeld

Comments 5th Annual Conference on Robot Learning. 2021

Interactive Imitation Learning in State-Space

Snehal Jauhri, Carlos Celemin, Jens Kober

Comments Presented at the 4th Conference on Robot Learning (CoRL) 2020, 11 pages, 4 figures

Journal ref Proceedings of the 2020 Conference on Robot Learning, PMLR 155:682-692

Motivating Physical Activity via Competitive Human-Robot Interaction

Boling Yang, Golnaz Habibi, Patrick E. Lancaster, Byron Boots, Joshua R. Smith

Comments Conference on Robot Learning. PMLR, 2022

ReSkin: versatile, replaceable, lasting tactile skins

Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi, Abhinav Gupta

Comments CoRL 2021. Project Website: https://reskin.dev . First two authors contributed equally

Journal ref PMLR 164:587-597, 2022

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li

Comments Accepted to CoRL 2020

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning

Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn

Comments CoRL 2021, 23 pages

Journal ref Conference on Robot Learning (pp. 991-1002). 2022 Jan 11

Specializing Versatile Skill Libraries using Local Mixture of Experts

Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann

Comments published at CoRL 2021 London

Learning Visible Connectivity Dynamics for Cloth Smoothing

Xingyu Lin, Yufei Wang, Zixuan Huang, David Held

Comments Published at CoRL 2021. Project website: https://sites.google.com/view/vcd-cloth

XIRL: Cross-embodiment Inverse Reinforcement Learning

Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi

Comments Oral Accept, CoRL '21

Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín

Comments CoRL 2021

Guided Imitation of Task and Motion Planning

Michael James McDonald, Dylan Hadfield-Menell

Comments 16 pages, 6 figures, 2 tables, submitted to Conference on Robot Learning 2021, to be published in Proceedings of Machine Learning Research

Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation

Charles Sun, Jędrzej Orbik, Coline Devin, Brian Yang, Abhishek Gupta, Glen Berseth, Sergey Levine

Comments 16 pages, Published at CoRL 2021

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution

Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi

Comments Presented at CoRL 2021

Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events

Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari

Comments 16 pages. Published in Conference on Robot Learning 2021, London

Understanding Teacher Gaze Patterns for Robot Learning

Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum

Comments Updated acknowledgements. Published in Conference on Robot Learning (CoRL), 2019

Journal ref PMLR (2019) 1247-1258

Back to Reality for Imitation Learning

Edward Johns

Comments Published at CoRL 2021, blue sky oral track

Probabilistic and Geometric Depth: Detecting Objects in Perspective

Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin

Comments Conference on Robot Learning (CoRL) 2021

Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations

Minghan Zhu, Maani Ghaffari, Huei Peng

Comments 8 pages. 1 figure. CoRL 2021

Self-Improving Semantic Perception for Indoor Localisation

Hermann Blum, Francesco Milano, René Zurbrügg, Roland Siegward, Cesar Cadena, Abel Gawel

Comments A summary video can be accessed at https://youtu.be/awsynhkkFpk

Journal ref CoRL 2021 https://openreview.net/forum?id=X2KJq-S11BC

Fast and Efficient Locomotion via Learned Gait Transitions

Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots

Comments Published in CoRL 2021. Website: Website: https://sites.google.com/view/fast-and-efficient Code: https://github.com/yxyang/fast_and_efficient

Assisted Robust Reward Design

Jerry Zhi-Yang He, Anca D. Dragan

Comments 5th Conference on Robot Learning (CoRL 2021)

Learning to Regrasp by Learning to Place

Shuo Cheng, Kaichun Mo, Lin Shao

Comments Accepted to Conference on Robot Learning (CoRL) 2021

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention

Yunkun Xu, Zhenyu Liu, Guifang Duan, Jiangcheng Zhu, Xiaolong Bai, Jianrong Tan

Comments CoRL 2021 accepted

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization

Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu

Comments Published at the Conference on Robot Learning (CoRL) 2021

Learning Multi-Stage Tasks with One Demonstration via Self-Replay

Norman Di Palo, Edward Johns

Comments Published at the 5th Conference on Robot Learning (CoRL) 2021

TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers

Comments CoRL 2021. The manuscript contains the main paper and the supplementary materials. Project page: https://go.vision.in.tum.de/tandem

3D Neural Scene Representations for Visuomotor Control

Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

Comments Accepted to Conference on Robot Learning (CoRL 2021) as Oral Presentation. The first two authors contributed equally. Project Page: https://3d-representation-learning.github.io/nerf-dy/

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee

Comments Published at the Conference on Robot Learning (CoRL) 2021