Damage Analysis of Tool-Based Micromachining Setup Using Electrical Continuity-Based Contact Detection System

2021 ◽  
Author(s):  
R. K. Veeresha ◽  
Muralidhara ◽  
Rathnamala Rao ◽  
K. Sushith ◽  
M. K. Shilpa
Keyword(s):  
Detection System ◽  
Contact Detection ◽  
Damage Analysis

Retrofit of a Combined Breaker Feeder with a Chisel Bath Contact Detection System to Reduce Anode Effect Frequency in a Potroom

2011 ◽  
pp. 467-470 ◽  
Author(s):  
Jonathan Verreault ◽  
Bernard Desgroseilliers ◽  
René Gariépy ◽  
Claude Simard ◽  
Serge Simard ◽  
...  
Keyword(s):  
Detection System ◽  
Anode Effect ◽  
Contact Detection

A contact detection system for identifying individual animals in groups

1972 ◽  
Vol 9 (4) ◽  
pp. 667-669 ◽  
Author(s):  
T.E. Cadell ◽  
R.J. Cressman ◽  
D.L. Parsons ◽  
A.H. Hills
Keyword(s):  
Detection System ◽  
Contact Detection

Development of non-contact detection system for energy storage materials

2021 ◽  
Author(s):  
Yanju Yang ◽  
Chunbiao Liu ◽  
Tao Sun ◽  
Wenyao Yang ◽  
Jie Li ◽  
...  
Keyword(s):  
Energy Storage ◽  
Detection System ◽  
Energy Storage Materials ◽  
Contact Detection ◽  
Storage Materials

Retrofit of a Combined Breaker Feeder with a Chisel Bath Contact Detection System to Reduce Anode Effect Frequency in a Potroom

2011 ◽  
pp. 465-470
Author(s):  
Jonathan Verreault ◽  
Bernard Desgroseilliers ◽  
René Gariépy ◽  
Claude Simard ◽  
Serge Simard ◽  
...  
Keyword(s):  
Detection System ◽  
Anode Effect ◽  
Contact Detection

Study of acoustic contact detection system of the surgical robot forceps

2017 ◽  
Vol 2017.55 (0) ◽  
pp. K1313
Author(s):  
Kyousuke TANIGUCHI ◽  
Shinichiro Nishida ◽  
Sintaro nakatani
Keyword(s):  
Detection System ◽  
Surgical Robot ◽  
Contact Detection ◽  
Acoustic Contact

scholarly journals A Mixed Perception Approach for Safe Human-Robot Collaboration in Industrial Automation

2020 ◽  
Author(s):  
Fatemeh Mohammadi Amin ◽  
Maryam Rezayati ◽  
Hans Wernher van de Venn ◽  
Hossein Karimpour
Keyword(s):  
Action Recognition ◽  
Manufacturing Systems ◽  
Detection System ◽  
Low Cost ◽  
Human Action ◽  
Physical Contact ◽  
Contact Detection ◽  
Human Beings ◽  
Industrial Automation ◽  
Human Robot Collaboration

Digital enabled manufacturing systems require high level of automation for fast and low-cost production but should also present flexibility and adaptiveness to varying and dynamic conditions in their environment, including the presence of human beings. This issue is addressed in this work by implementing a reliable system for real-time safe human-robot collaboration based upon the combination of human action and contact type detection systems. Two datasets containing contact and vision data are collected by using different volunteers. The action recognition system classifies human actions using the skeleton representation of the latter when entering the shared workspace and the contact detection system distinguishes between intentional and incidental interactions if a physical contact between human and robot takes place. Two different deep learning networks are used for human action recognition and contact detection which in combination, lead to the enhancement of human safety and an increase of the level of robot awareness about human intentions. The results show a promising path for future AI-driven solutions in safe and productive human–robot collaboration (HRC) in industrial automation.

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