Toward Safe and Efficient Human–Robot Interaction via Behavior-Driven Danger Signaling-Reference-Cited by-同舟云学术

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Toward Safe and Efficient Human–Robot Interaction via Behavior-Driven Danger Signaling

Published:2024-01 Issue:1 Volume:32 Page:214-224
ISSN:1063-6536
Container-title:IEEE Transactions on Control Systems Technology
language:
Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Hosseinzadeh Mehdi¹^ORCID,Sinopoli Bruno²^ORCID,Bobick Aaron F.³

Affiliation:

1. School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA

2. Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA

3. Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/87/10376325/10229973-aam.pdf

Reference75 articles.

1. Balanced Information Gathering and Goal-Oriented Actions in Shared Autonomy

2. Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning

3. A Data-driven Framework for Proactive Intention-Aware Motion Planning of a Robot in a Human Environment

4. Socially competent navigation planning by deep learning of multi-agent path topologies

5. Social Momentum

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1. Enhanced Object Detection in Autonomous Vehicles through LiDAR—Camera Sensor Fusion;World Electric Vehicle Journal;2024-07-03

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