Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation-Reference-Cited by-同舟云学术

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Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation

Published:2024-05-15 Issue: Volume:19 Page:1-6
ISSN:
Container-title:2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)
language:
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Author:

Sellers Timothy¹,Lei Tingjun¹,Luo Chaomin¹,Liu Lantao²,Carruth Daniel W.³

Affiliation:

1. Mississippi State University, Mississippi State,Department of Electrical and Computer Engineering,MS,USA,39762

2. Indiana University,Department of Intelligent Systems Engineering,Bloomington,IN,USA,47408

3. Mississippi State University,Center for Advanced Vehicular Systems,MS,USA,39759

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10555565/10555582/10555725.pdf?arnumber=10555725

Reference16 articles.

1. A Nature-Inspired Algorithm to Adaptively Safe Navigation of a Covid-19 Disinfection Robot

2. A PRM Approach to Path Planning with Obstacle Avoidance of an Autonomous Robot

3. BIM-BASED INDOOR PATH PLANNING CONSIDERING OBSTACLES

4. A Graph-based Ant-like Approach to Optimal Path Planning

5. Robotic Indoor Path Planning Using Dijkstra's Algorithm with Multi-Layer Dictionaries

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