CoRL

Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping

Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari

Comments Code: https://github.com/facebookresearch/go-fresh

Journal ref 6th Conference on Robot Learning (CoRL 2022)

Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis

Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan Paleja, Esmaeil Seraj, Matthew Gombolay

Comments Workshop paper at Learning for Agile Robotics Workshop, CoRL 2022

Planning Paths through Occlusions in Urban Environments

Yutao Han, Youya Xia, Guo-Jun Qi, Mark Campbell

Comments 10 pages (2 for references), 3 figures, 3 Tables, Conference on Robot Learning 2022 (CoRL)

Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning

Kun Huang, Edward S. Hu, Dinesh Jayaraman

Comments CoRL 2022

Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data

Andrej Janda, Brandon Wagstaff, Edwin G. Ng, Jonathan Kelly

Comments In Proceedings of the Conference on Robot Learning (CoRL'22) Workshop on Pre-Training Robot Learning, Auckland, New Zealand, December 15, 2022

Instruction-driven history-aware policies for robotic manipulations

Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia, Makarand Tapaswi, Ivan Laptev, Cordelia Schmid

Comments Accepted in CoRL 2022 (oral); project page at https://guhur.github.io/hiveformer/

HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving

Andrei Zanfir, Mihai Zanfir, Alexander Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu

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

Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation

Bugra C. Sefercik, Baris Akgun

Comments 8 pages, 6 figures, Conference on Robot Learning

Cross-Domain Transfer via Semantic Skill Imitation

Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai

Comments Project website: https://kpertsch.github.io/star

Journal ref CoRL 2022

Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving

Angad Singh, Omar Makhlouf, Maximilian Igl, Joao Messias, Arnaud Doucet, Shimon Whiteson

Comments Accepted to CoRL 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic

Comments CoRL 2022

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles

Peter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone

Comments CoRL 2022 camera ready

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes

Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon

Comments Accepted to Conference on Robot Learning (CoRL), 2022

Where To Start? Transferring Simple Skills to Complex Environments

Vitalis Vosylius, Edward Johns

Comments Accepted at CoRL 2022. Videos are available on our project webpage at https://www.robot-learning.uk/where-to-start

MIRA: Mental Imagery for Robotic Affordances

Lin Yen-Chen, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola

Comments CoRL 2022, webpage: https://yenchenlin.me/mira

Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes

Haoxiang Ma, Di Huang

Comments Accepted at CoRL'2022

Visuotactile Affordances for Cloth Manipulation with Local Control

Neha Sunil, Shaoxiong Wang, Yu She, Edward Adelson, Alberto Rodriguez

Comments Accepted at CoRL 2022. Project website: http://nehasunil.com/visuotactile/visuotactile.html

Skill-based Model-based Reinforcement Learning

Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee

Comments Published at the Conference on Robot Learning (CoRL) 2022. Website: https://clvrai.com/skimo

Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation

Yifan Zhou, Shubham Sonawani, Mariano Phielipp, Simon Stepputtis, Heni Ben Amor

Comments 2022 Conference on Robot Learning (CoRL)

VideoDex: Learning Dexterity from Internet Videos

Kenneth Shaw, Shikhar Bahl, Deepak Pathak

Comments Accepted at CoRL 2022. Website at https://video-dex.github.io

HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration

Xingyu Liu, Deepak Pathak, Kris M. Kitani

Comments CoRL 2022

See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation

Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A Lee, Huazhe Xu, Edward Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu

Comments In CoRL 2022. Li and Zhang equal contribution; Gao and Wu equal advising. Project page: https://ai.stanford.edu/~rhgao/see_hear_feel/

Few-Shot Preference Learning for Human-in-the-Loop RL

Joey Hejna, Dorsa Sadigh

Comments 6th Annual Conference on Robot Learning (CoRL) 2022

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

Hao Shao, Letian Wang, RuoBing Chen, Hongsheng Li, Yu Liu

Comments Accepted at CoRL 2022

Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior

Gabriel B Margolis, Pulkit Agrawal

Comments Oral presentation at CoRL 2022. Website at https://gmargo11.github.io/walk-these-ways/

PRISM: Probabilistic Real-Time Inference in Spatial World Models

Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer

Comments Will appear in PMLR, CoRL 2022

Learning Sampling Distributions for Model Predictive Control

Jacob Sacks, Byron Boots

Comments Accepted at the Conference on Robot Learning (CoRL), 2022. Main paper is 9 pages with 4 figures. Appendix is 12 pages with 11 figures and 1 table

Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control

Shubhankar Agarwal, Sandeep P. Chinchali

Comments Conference on Robot Learning, 2022

Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula

Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson

Comments Published in CoRL 2022. Main text (8 pages, 3 figures) + acknowledgements and references (3 pages) + appendix (7 pages, 4 figures)

Learning Agile Paths from Optimal Control

Alex Beaudin, Hsiu-Chin Lin

Comments 4 pages, 3 figures. Accepted to Learning for Agile Robotics Workshop at Conference on Robot Learning 2022