机器人 / 具身智能 - arXivDaily 专题

2310.04276 2024-04-02 cs.AI q-bio.NC 79%

From task structures to world models: What do LLMs know?

Ilker Yildirim, L. A. Paul

专题命中具身推理：world model(title,abstract)；分类 cs.AI

2303.05674 2024-03-19 cs.RO 79%

Robotic Applications of Pre-Trained Vision-Language Models to Various Recognition Behaviors

Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa, Kei Okada, Masayuki Inaba

专题命中具身推理：robotic(title)；robotics(abstract)；分类 cs.RO

Comments Accepted at Humanoids2023

2403.04253 2024-03-08 cs.LG 79%

Mastering Memory Tasks with World Models

Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments Published as a conference paper at The International Conference on Learning Representations 2024

2310.05167 2024-02-20 cs.AI 79%

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

Paul Mattes, Rainer Schlosser, Ralf Herbrich

专题命中具身推理：world model(title,abstract)；分类 cs.AI

Comments Submitted to ICML 2024, 23 pages, 11 figures, code available at: https://github.com/Snagnar/Hieros

2304.06011 2024-02-15 cs.LG cs.MA 79%

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning

Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments 9 pages

2306.09205 2024-01-25 cs.LG 79%

Reward-Free Curricula for Training Robust World Models

Marc Rigter, Minqi Jiang, Ingmar Posner

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments ICLR 2024

2401.09985 2024-01-19 cs.CV 79%

WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Xiaofeng Wang, Zheng Zhu, Guan Huang, Boyuan Wang, Xinze Chen, Jiwen Lu

专题命中具身推理：world model(title,abstract)；分类 cs.CV

Comments project page: https://world-dreamer.github.io/

2401.07589 2024-01-17 cs.RO 79%

Semantic Scene Segmentation for Robotics

Juana Valeria Hurtado, Abhinav Valada

专题命中具身推理：robotics(title,abstract)；分类 cs.RO

Journal ref Deep Learning for Robot Perception and Cognition, chapter 12, pp. 279-311, Elsevier, 2022

2310.09615 2023-12-27 cs.LG 79%

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang

专题命中具身推理：world model(title,abstract)；分类 cs.LG

2311.17918 2023-11-30 cs.CV 79%

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Yuqi Wang, Jiawei He, Lue Fan, Hongxin Li, Yuntao Chen, Zhaoxiang Zhang

专题命中具身推理：world model(title,abstract)；分类 cs.CV

Comments Project page: https://drive-wm.github.io. Code: https://github.com/BraveGroup/Drive-WM

2307.02064 2023-11-10 cs.LG 79%

Facing Off World Model Backbones: RNNs, Transformers, and S4

Fei Deng, Junyeong Park, Sungjin Ahn

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments NeurIPS 2023. Added instantiation with S5. Project page: https://fdeng18.github.io/s4wm

2305.14879 2023-10-25 cs.CL cs.AI 79%

ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games

Ruoyao Wang, Graham Todd, Eric Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter Jansen

专题命中具身推理：world model(title,abstract)；分类 cs.AI

Comments Accepted to EMNLP 2023

2309.10620 2023-10-12 cs.RO 79%

Perceptual Factors for Environmental Modeling in Robotic Active Perception

David Morilla-Cabello, Jonas Westheider, Marija Popovic, Eduardo Montijano

专题命中具身推理：robotic(title)；robotics(abstract)；分类 cs.RO

Comments 7 pages, 9 figures, under review for IEEE ICRA 2023

2309.00941 2023-09-11 cs.LG 79%

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Neel Nanda, Andrew Lee, Martin Wattenberg

专题命中具身推理：world model(title,abstract)；分类 cs.LG

2306.12672 2023-06-26 cs.CL cs.AI cs.SC 79%

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum

专题命中具身推理：world model(title,abstract)；分类 cs.AI

2303.10930 2023-03-21 cs.RO 79%

Semantic 3D scene segmentation for robotic assembly process execution

Andreas Wiedholz, Stefanie Wucherer, Simon Dietrich

专题命中具身推理：robotic(title)；world model(abstract)；分类 cs.RO

2303.10144 2023-03-20 cs.LG stat.ML 79%

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting

Nicolai Dorka, Tim Welschehold, Wolfram Burgard

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments ICLR 2023

2301.03793 2023-01-11 cs.RO 79%

Estimation of User's World Model Using Graph2vec

Tatsuya Sakai, Takayuki Nagai

专题命中具身推理：world model(title,abstract)；分类 cs.RO

2209.08035 2022-09-19 cs.LG cs.NE q-bio.NC 79%

A Biologically-Inspired Dual Stream World Model

Arthur Juliani, Margaret Sereno

专题命中具身推理：world model(title,abstract)；分类 cs.LG

2206.11131 2022-06-23 cs.LG stat.ME 79%

Variational Causal Dynamics: Discovering Modular World Models from Interventions

Anson Lei, Bernhard Schölkopf, Ingmar Posner

专题命中具身推理：world model(title,abstract)；分类 cs.LG

2110.00808 2022-06-08 cs.LG 79%

Cycle-Consistent World Models for Domain Independent Latent Imagination

Sidney Bender, Tim Joseph, Marius Zoellner

专题命中具身推理：world model(title,abstract)；分类 cs.LG

2205.01435 2022-05-11 cs.LG 79%

RLFlow: Optimising Neural Network Subgraph Transformation with World Models

Sean Parker, Sami Alabed, Eiko Yoneki

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments 14 pages, 11 figures

2107.11676 2021-07-27 cs.LG 79%

The Impact of Negative Sampling on Contrastive Structured World Models

Ondrej Biza, Elise van der Pol, Thomas Kipf

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments This work appeared at the ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception

2103.17120 2021-04-01 cs.RO 79%

Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery

Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren

专题命中具身推理：robotic(title,abstract)；分类 cs.RO

Comments Accepted in ICRA 2021

1908.11494 2020-10-27 cs.AI 79%

Reinforcement learning with world model

Jingbin Liu, Xinyang Gu, Shuai Liu

专题命中具身推理：world model(title,abstract)；分类 cs.AI

2010.02054 2020-10-06 cs.LG stat.ML 79%

Improving Generative Imagination in Object-Centric World Models

Zhixuan Lin, Yi-Fu Wu, Skand Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments Accepted in ICML 2020

2009.05246 2020-09-14 cs.RO 79%

The Robotic Vision Scene Understanding Challenge

David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf

专题命中具身推理：robotic(title,abstract)；分类 cs.RO

2007.03357 2020-09-14 cs.CV eess.IV 79%

Learning and Reasoning with the Graph Structure Representation in Robotic Surgery

Mobarakol Islam, Lalithkumar Seenivasan, Lim Chwee Ming, Hongliang Ren

专题命中具身推理：robotic(title,abstract)；分类 cs.CV

Comments MICCAI 2020

2005.05960 2020-07-02 cs.LG cs.AI cs.CV cs.NE cs.RO stat.ML 79%

Planning to Explore via Self-Supervised World Models

Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

专题命中具身推理：world model(title)；分类 cs.RO、cs.AI、cs.CV

Comments Accepted at ICML 2020. Videos and code at https://ramanans1.github.io/plan2explore/

1910.02384 2020-03-06 cs.LG stat.ML 79%

SCALOR: Generative World Models with Scalable Object Representations

Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn

专题命中具身推理：world model(title,abstract)；分类 cs.LG

Comments First two authors contributed equally. Published at ICLR 2020

1. 具身推理 3115 篇

From task structures to world models: What do LLMs know?

Robotic Applications of Pre-Trained Vision-Language Models to Various Recognition Behaviors

Mastering Memory Tasks with World Models

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning

Reward-Free Curricula for Training Robust World Models

WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Semantic Scene Segmentation for Robotics

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Facing Off World Model Backbones: RNNs, Transformers, and S4

ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games

Perceptual Factors for Environmental Modeling in Robotic Active Perception

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Semantic 3D scene segmentation for robotic assembly process execution

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting

Estimation of User's World Model Using Graph2vec

A Biologically-Inspired Dual Stream World Model

Variational Causal Dynamics: Discovering Modular World Models from Interventions

Cycle-Consistent World Models for Domain Independent Latent Imagination

RLFlow: Optimising Neural Network Subgraph Transformation with World Models

The Impact of Negative Sampling on Contrastive Structured World Models

Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery

Reinforcement learning with world model

Improving Generative Imagination in Object-Centric World Models

The Robotic Vision Scene Understanding Challenge

Learning and Reasoning with the Graph Structure Representation in Robotic Surgery

Planning to Explore via Self-Supervised World Models

SCALOR: Generative World Models with Scalable Object Representations