A Hierarchical Finite-State Machine-Based Task Allocation Framework for Human-Robot Collaborative Assembly Tasks-Reference-Cited by-同舟云学术

A Hierarchical Finite-State Machine-Based Task Allocation Framework for Human-Robot Collaborative Assembly Tasks

Published:2022-10-23 Issue: Volume: Page:
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Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

El Makrini Ilias¹,Omidi Mohsen¹,Fusaro Fabio²,Lamon Edoardo²,Ajoudani Arash²,Vandcrborght Bram¹

Affiliation:

1. Robotics and Multibody Mechanics Research Group, Vrije Universiteit,Brussel,Belgium

2. Istituto Italiano di Tecnologia,HRI2 Lab,Genova,Italy,16163

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981618.pdf?arnumber=9981618

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4. Optimized task distribution for industrial assembly in mixed human-robot environments - Case study on IO module assembly

5. Goal inference improves objective and perceived performance in human-robot collaboration;liu;Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems International Foundation for Autonomous Agents and Multiagent Systems,0

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