Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation-Reference-Cited by-同舟云学术

Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

Published:2022-10 Issue:4 Volume:7 Page:11807-11814
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Karnan Haresh¹^ORCID,Nair Anirudh²,Xiao Xuesu²^ORCID,Warnell Garrett²^ORCID,Pirk Soren³,Toshev Alexander³^ORCID,Hart Justin²^ORCID,Biswas Joydeep²^ORCID,Stone Peter²^ORCID

Affiliation:

1. Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA

2. Department of Computer Science, The University of Texas at Austin, Austin, TX, USA

3. Robotics@ Google, Mountain View, CA, USA

Funder

Learning Agents Research Group

Autonomous Mobile Robotics Laboratory

NSF

ONR

FLI

ARO

Defense Advanced Research Projects Agency

Lockheed Martin

GM, and Bosch

Amazon Catalyst

JP Morgan

Northrop Grumman Mission Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/7083369/9831196/9799755-aam.pdf

Reference47 articles.

1. Social Momentum: Design and Evaluation of a Framework for Socially Competent Robot Navigation

2. A protocol for validating social navigation policies;pirk,2022

3. SOCIALGYM: A framework for benchmarking social robot navigation;holtz,2021

4. An Approach to Deploy Interactive Robotic Simulators on the Web for HRI Experiments: Results in Social Robot Navigation

5. Robust motion planning and safety benchmarking in human workspaces;lo;Proc SafeAI AAAI,0

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