机器人 / 具身智能 - arXivDaily 专题

2310.13083 2023-10-23 cs.RO cs.LG 62%

How Can Everyday Users Efficiently Teach Robots by Demonstrations?

Maram Sakr, Zhikai Zhang, Benjamin Li, Haomiao Zhang, H. F. Machiel Van der Loos, Dana Kulic, Elizabeth Croft

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.LG

2306.06335 2023-10-17 cs.LG cs.RO cs.SY eess.SY 62%

How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations

Franck Djeumou, Cyrus Neary, Ufuk Topcu

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments Final submission to CoRL 2023

2309.17437 2023-10-03 cs.RO cs.AI 62%

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network

Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.AI

2308.16185 2023-08-31 cs.RO cs.AI 62%

Learning Vision-based Pursuit-Evasion Robot Policies

Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik

专题命中机器人学习：robot policy(abstract)；分类 cs.RO、cs.AI

Comments Includes Supplementary. Project webpage at https://abajcsy.github.io/vision-based-pursuit/

2209.09006 2023-02-17 cs.RO cs.LG 62%

Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control

Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

2301.00964 2023-01-04 cs.RO cs.HC cs.LG 62%

e-Inu: Simulating A Quadruped Robot With Emotional Sentience

Abhiruph Chakravarty, Jatin Karthik Tripathy, Sibi Chakkaravarthy S, Aswani Kumar Cherukuri, S. Anitha, Firuz Kamalov, Annapurna Jonnalagadda

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

2212.06111 2022-12-13 cs.RO cs.LG 62%

Where To Start? Transferring Simple Skills to Complex Environments

Vitalis Vosylius, Edward Johns

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.LG

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

2202.08004 2022-06-16 cs.RO cs.LG 62%

Deep Koopman Operator with Control for Nonlinear Systems

Haojie Shi, Max Q. -H. Meng

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.LG

2109.07627 2022-04-07 cs.RO cs.LG 62%

Adversarially Regularized Policy Learning Guided by Trajectory Optimization

Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao

专题命中机器人学习：manipulation(abstract)；分类 cs.RO、cs.LG

Comments Accepted at L4DC 2022

2204.02274 2022-04-06 cs.RO cs.CV 62%

Grounding of the Functional Object-Oriented Network in Industrial Tasks

Rafik Ayari, Matteo Pantano, David Paulius

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.CV

2112.00956 2021-12-03 cs.LG cs.MA cs.NI cs.RO 62%

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving

Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.LG

2110.15142 2021-10-29 cs.RO cs.LG 62%

Learning Feasibility to Imitate Demonstrators with Different Dynamics

Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

Journal ref CoRL 2021

2110.04347 2021-10-12 cs.RO cs.LG 62%

Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration

Letian Chen, Rohan Paleja, Matthew Gombolay

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

Comments Presented at AI-HRI symposium as part of AAAI-FSS 2021 (arXiv:2109.10836)

2110.01770 2021-10-12 cs.CV cs.AI 62%

Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning

Jing Bi, Jiebo Luo, Chenliang Xu

专题命中机器人学习：world model(abstract)；分类 cs.AI、cs.CV

Comments ICCV 2021 Oral

1910.10628 2021-03-02 cs.RO cs.LG 62%

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control

Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh Jha, Daniel Nikovski, George Konidaris, Stefanie Tellex

专题命中机器人学习：robot policy(abstract)；分类 cs.RO、cs.LG

Comments Preprint

2102.12141 2021-02-25 cs.RO cs.AI 62%

Learning to Shift Attention for Motion Generation

You Zhou, Jianfeng Gao, Tamim Asfour

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.AI

2101.04736 2021-01-14 cs.RO cs.AI 62%

Bootstrapping Motor Skill Learning with Motion Planning

Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Konidaris

专题命中机器人学习：manipulation(abstract)；分类 cs.RO、cs.AI

2011.07785 2020-11-17 cs.RO cs.AI 62%

Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration

Ji Woong Kim, Changyan He, Muller Urias, Peter Gehlbach, Gregory D. Hager, Iulian Iordachita, Marin Kobilarov

专题命中机器人学习：navigation(abstract)；分类 cs.RO、cs.AI

Comments Accepted to ICRA 2020

2007.11646 2020-07-24 cs.RO cs.LG 62%

Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks

Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments Published at a RSS20 workshop

1904.12907 2020-07-22 cs.RO cs.AI cs.CL 62%

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning

Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.AI

Comments 7 pages, 4 figures, ICRA 2020

2007.09562 2020-07-21 cs.RO cs.LG cs.SY eess.SY 62%

Learning to Play Cup-and-Ball with Noisy Camera Observations

Monimoy Bujarbaruah, Tony Zheng, Akhil Shetty, Martin Sehr, Francesco Borrelli

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

Comments Final paper for IEEE CASE, Hong Kong, August, 2020. First three authors contributed equally

2007.05156 2020-07-13 cs.AI cs.RO 62%

A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning

Xuan Di, Rongye Shi

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.AI

2006.12551 2020-06-25 cs.AI cs.RO 62%

PICO: Primitive Imitation for COntrol

Corban G. Rivera, Katie M. Popek, Chace Ashcraft, Edward W. Staley, Kapil D. Katyal, Bart L. Paulhamus

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.AI

1907.11792 2020-05-19 cs.LG cs.RO stat.ML 62%

Maximum Causal Entropy Specification Inference from Demonstrations

Marcell Vazquez-Chanlatte, Sanjit A. Seshia

专题命中机器人学习：robotics(abstract)；分类 cs.RO、cs.LG

Comments Computer Aided Verification, 2020

1910.06315 2019-10-15 cs.CV cs.CL cs.LG 62%

Dynamic Attention Networks for Task Oriented Grounding

Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri

专题命中机器人学习：robotic(abstract)；分类 cs.CV、cs.LG

Comments Accepted ICCV 2019 Workshop

1910.03157 2019-10-09 cs.RO cs.CV 62%

Model-based Behavioral Cloning with Future Image Similarity Learning

Alan Wu, AJ Piergiovanni, Michael S. Ryoo

专题命中机器人学习：robot learning(abstract)；分类 cs.RO、cs.CV

1908.01482 2019-08-06 cs.CV cs.AI 62%

Walking with MIND: Mental Imagery eNhanceD Embodied QA

Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang

专题命中机器人学习：embodied agent(abstract)；分类 cs.AI、cs.CV

1907.13098 2019-07-31 cs.RO cs.LG 62%

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg

专题命中机器人学习：manipulation(abstract)；分类 cs.RO、cs.LG

Comments arXiv admin note: substantial text overlap with arXiv:1810.10191

1903.05757 2019-03-15 cs.HC cs.AI cs.CV 62%

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning

Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, Song-Chun Zhu

专题命中机器人学习：embodied agent(abstract)；分类 cs.AI、cs.CV

1903.05697 2019-03-15 cs.RO cs.LG 62%

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks

Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger

专题命中机器人学习：robotic(abstract)；分类 cs.RO、cs.LG

Comments Copyright 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

1. 机器人学习 874 篇

How Can Everyday Users Efficiently Teach Robots by Demonstrations?

How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network

Learning Vision-based Pursuit-Evasion Robot Policies

Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control

e-Inu: Simulating A Quadruped Robot With Emotional Sentience

Where To Start? Transferring Simple Skills to Complex Environments

Deep Koopman Operator with Control for Nonlinear Systems

Adversarially Regularized Policy Learning Guided by Trajectory Optimization

Grounding of the Functional Object-Oriented Network in Industrial Tasks

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving

Learning Feasibility to Imitate Demonstrators with Different Dynamics

Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration

Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control

Learning to Shift Attention for Motion Generation

Bootstrapping Motor Skill Learning with Motion Planning

Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration

Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning

Learning to Play Cup-and-Ball with Noisy Camera Observations

A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning

PICO: Primitive Imitation for COntrol

Maximum Causal Entropy Specification Inference from Demonstrations

Dynamic Attention Networks for Task Oriented Grounding

Model-based Behavioral Cloning with Future Image Similarity Learning

Walking with MIND: Mental Imagery eNhanceD Embodied QA

Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks