世界模型

Push Past Green: Learning to Look Behind Plant Foliage by Moving It

Xiaoyu Zhang, Saurabh Gupta

专题命中 具身与机器人 ：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)

Comments Accepted by Conference on Robot Learning (CoRL) 2023. for project website with video, see https://sites.google.com/view/pushpastgreen/

Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment

Tianyu Wang, Dwait Bhatt, Xiaolong Wang, Nikolay Atanasov

专题命中 具身与机器人 ：latent dynamics(abstract)；分类 cs.AI、cs.RO

Comments 8 pages, 9 figures

Action Conditioned Tactile Prediction: case study on slip prediction

Willow Mandil, Kiyanoush Nazari, Amir Ghalamzan E

专题命中 具身与机器人 ：分类 cs.AI、cs.LG、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments Proceeding of Robotics: Science and Systems (RSS 2022)

Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control

Achkan Salehi, Stephane Doncieux

专题命中 具身与机器人 ：model-based RL(abstract)；分类 cs.LG、cs.RO

Comments accepted for publication by l4dc 2024, 12 pages (with references), 4 figures, 2 tables

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei

专题命中 具身与机器人 ：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)

Translating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment

Giang Hoang Nguyen, Daniel Bessler, Simon Stelter, Mihai Pomarlan, Michael Beetz

专题命中 具身与机器人 ：environment model(abstract)；分类 cs.AI、cs.RO

Comments 6 pages, 3 figures, ICRA 2024

SACSoN: Scalable Autonomous Control for Social Navigation

Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine

专题命中 具身与机器人 ：分类 cs.LG、cs.CV、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments 11 pages, 15 figures, 4 tables

SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics

Alireza Rezazadeh, Athreyi Badithela, Karthik Desingh, Changhyun Choi

专题命中 具身与机器人 ：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)

Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling

Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks

Robert McCarthy, Qiang Wang, Stephen J. Redmond

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields

Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager

专题命中 具身与机器人 ：environment model(abstract)；分类 cs.CV、cs.RO

Journal ref IEEE Robotics and Automation Letters ( Volume: 8, Issue: 8, August 2023)

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone

专题命中 具身与机器人 ：model-based RL(abstract)；分类 cs.AI、cs.RO

Multi-Object Manipulation via Object-Centric Neural Scattering Functions

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

专题命中 具身与机器人 ：分类 cs.AI、cs.LG、cs.CV；dynamics model(abstract)

Comments First two authors contributed equally. Accepted at CVPR 2023. Project page: https://s-tian.github.io/projects/actionosf/

Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics

Taekyung Kim, Jungwi Mun, Junwon Seo, Beomsu Kim, Seongil Hong

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.AI、cs.RO

Comments 2023 Robotics: Science and Systems (RSS). Project page: https://taekyung.me/rss2023-bridging

Self-Supervised Reinforcement Learning that Transfers using Random Features

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

专题命中 具身与机器人 ：model-based RL(abstract)；分类 cs.AI、cs.LG

Learning Control from Raw Position Measurements

Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments Accepted at the 2023 American Control Conference (ACC)

Active Exploration for Robotic Manipulation

Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments Published without appendix at "International Conference on Intelligent Robots and Systems (IROS)" 2022

Visuo-Tactile Transformers for Manipulation

Yizhou Chen, Andrea Sipos, Mark Van der Merwe, Nima Fazeli

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Comments Accepted to CoRL 2022

Model-Based Imitation Learning Using Entropy Regularization of Model and Policy

Eiji Uchibe

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments This is a preprint version of the paper to appear at IEEE Robotics and Automation Letters (RA-L). The final journal version is downloadable from https://doi.org/10.1109/LRA.2022.3196139

Journal ref IEEE Robotics and Automation Letters, Volume 7, Issue 4, pages 10922-10929, October, 2022

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills

Samuele Tosatto, Georgia Chalvatzaki, Jan Peters

专题命中 具身与机器人 ：latent dynamics(abstract)；分类 cs.LG、cs.RO

Multiagent Model-based Credit Assignment for Continuous Control

Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak, Michael Wooldridge

专题命中 具身与机器人 ：model-based RL(abstract)；分类 cs.AI、cs.RO

Comments To Appear in AAMAS2022 (Oral)

Learning Modular Robot Control Policies

Julian Whitman, Matthew Travers, Howie Choset

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Influencing Towards Stable Multi-Agent Interactions

Woodrow Z. Wang, Andy Shih, Annie Xie, Dorsa Sadigh

专题命中 具身与机器人 ：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments 15 pages, 5 figures, Published as an Oral at Conference on Robot Learning (CoRL) 2021

Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems

Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar

专题命中 具身与机器人 ：分类 cs.LG、cs.RO、cs.MA；predictive model(abstract)；predictive models(abstract)

Towards Personalized Explanation of Robot Path Planning via User Feedback

Kayla Boggess, Shenghui Chen, Lu Feng

专题命中 具身与机器人 ：environment model(abstract)；分类 cs.AI、cs.RO

Comments 7 pages, 5 figures

How To Train Your HERON

Antoine Richard, Stephanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cedric Pradalier

专题命中 具身与机器人 ：model-based RL(abstract)；分类 cs.LG、cs.RO

Data-efficient Model Learning and Prediction for Contact-rich Manipulation Tasks

Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.RO；dynamics model(abstract)

Comments Accepted at Robotics and Automation Letters

Learning Transition Models with Time-delayed Causal Relations

Junchi Liang, Abdeslam Boularias

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.LG、cs.RO

Mutual Information Maximization for Robust Plannable Representations

Yiming Ding, Ignasi Clavera, Pieter Abbeel

专题命中 具身与机器人 ：model-based reinforcement learning(abstract)；分类 cs.AI、cs.CV

Comments Accepted at NeurIPS 2019 Workshop on Robot Learning: Control and Interaction in the Real World

Information Theoretic Model Predictive Q-Learning

Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots

专题命中 具身与机器人 ：model-based RL(abstract)；分类 cs.LG、cs.RO

Comments Extended version (15 pages) of paper accepted at the 2nd Learning for Dynamics and Control (L4DC) Conference, 2020