Performance Evaluation of Human Detection Systems for Robot Safety
Autor: | Geraldine S. Cheok, William P. Shackleford, Kamel S. Saidi, Tsai Hong, Michael O. Shneier |
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Rok vydání: | 2016 |
Předmět: |
0209 industrial biotechnology
Engineering Situation awareness business.industry Mechanical Engineering 02 engineering and technology Workspace Safety standards Industrial and Manufacturing Engineering 020901 industrial engineering & automation Harm Work (electrical) Artificial Intelligence Control and Systems Engineering Human–computer interaction Embedded system 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Electrical and Electronic Engineering business Software Safety monitoring |
Zdroj: | Journal of Intelligent & Robotic Systems. 83:85-103 |
ISSN: | 1573-0409 0921-0296 |
Popis: | Detecting and tracking people is becoming more important in robotic applications because of the increasing demand for collaborative work in which people interact closely with and in the same workspace as robots. New safety standards allow people to work next to robots, but require that they be protected from harm while they do so. Sensors that detect and track people are a natural way of implementing the necessary safety monitoring, and have the added advantage that the information about where the people are and where they are going can be fed back into the application and used to give the robot greater situational awareness for performing tasks. The results should help users determine if such a system will provide sufficient protection for people to be able to work safely in collaborative applications with industrial robots. |
Databáze: | OpenAIRE |
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