Development and characterization of a multi-camera 2D-vision system for enhanced performance of a drink serving robotic cell

2012 ◽  
Vol 28 (1) ◽  
pp. 35-49 ◽  
Author(s):  
Paolo Bellandi ◽  
Giovanna Sansoni ◽  
Angelo Vertuan
Keyword(s):  
Vision System ◽  
Robotic Cell

scholarly journals An Experimental Characterization of TORVEastro, Cable-Driven Astronaut Robot

Robotics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 21
Author(s):  
Francesco Samani ◽  
Marco Ceccarelli
Keyword(s):  
Mechanical Design ◽  
Vision System ◽  
Service Robot ◽  
Test Results ◽  
Operation Performance ◽  
Space Applications ◽  
Outdoor Space ◽  
Motion Characteristics ◽  
Three Degree Of Freedom

TORVEastro robot design is presented with a built prototype in LARM2 (Laboratory of Robot Mechatronics) for testing and characterizing its functionality for service in space stations. Several robot astronauts are designed with bulky human-like structures that cannot be convenient for outdoor space service in monitoring and maintenance of the external structures of orbital stations. The design features of TORVEastro robot are discussed with its peculiar mechanical design with 3 arm-legs as agile service robot astronaut. A lab prototype is used to test the operation performance and the feasibility of its peculiar design. The robot weighs 1 kg, and consists of a central torso, three identical three-degree of freedom (DoF) arm–legs and one vision system. Test results are reported to discuss the operation efficiency in terms of motion characteristics and power consumption during lab experiments that nevertheless show the feasibility of the robot for outdoor space applications.

Development of an Integrated Vision System (IVS) for Characterization of the Lunar Surface

2021 ◽  
Author(s):  
Eric A. Pilles ◽  
Gordon R. Osinski ◽  
Livio L. Tornabene ◽  
Jayshri Sabarinathan ◽  
Aref Bakhtazad
Keyword(s):  
Lunar Surface ◽  
Vision System

Vision system for on-line characterization of paper slurry

2000 ◽  
Vol 11 (4) ◽  
pp. 231-242 ◽  
Author(s):  
Hamed Sari-Sarraf ◽  
James S. Goddard ◽  
Besma R. Abidi ◽  
Martin A. Hunt
Keyword(s):  
Vision System ◽  
On Line

Computer vision system for characterization of pasta (noodle) composition

2018 ◽  
Vol 27 (05) ◽  
pp. 1
Author(s):  
Saulo Martielo Mastelini ◽  
Matheus Gustavo Alves Sasso ◽  
Gabriel Fillipe Centini Campos ◽  
Marcio Schmiele ◽  
Maria Teresa Pedrosa Silva Clerici ◽  
...  
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Computer Vision System

Characterization of a Color Vision System

1996 ◽  
Vol 39 (1) ◽  
pp. 263-273 ◽  
Author(s):  
Y.-C. Chang ◽  
J. F. Reid
Keyword(s):  
Color Vision ◽  
Vision System

A Micro-Computer Based Part/Tool Monitoring System for a Robotic Cell

1991 ◽  
Author(s):  
Saeid Motavalli ◽  
Behnam Bahr ◽  
Hamid M. Lankarani
Keyword(s):  
Tool Wear ◽  
Vision System ◽  
Conveyor Belt ◽  
Recognition Algorithm ◽  
View Point ◽  
Robotic Cell ◽  
Specific Sequence ◽  
Tool Monitoring ◽  
Monitoring Camera ◽  
Wear Monitoring

Abstract This paper describes the elements of a unique robotic cell integrated with a vision system. The cell consists of a PUMA 560 robot, a vision system, and a conveyor belt. The robot end effector is a drill used in a drilling operation. The vision system has a two fold function: monitoring tool wear, and recognizing parts passing over the conveyor belt. Both tool monitoring and part recognition are performed using the vision system. The vision system is PC-based and uses two CCD video cameras. One camera is mounted vertically overlooking the conveyor belt, and the other camera is mounted horizontally for tool wear monitoring. Algorithms have been developed that interface the vision system with the robot. Whenever a part reaches the view point of the camera, an image of the part is captured. A recognition algorithm has been developed that recognizes the part and signals the robot to perform a specific sequence of operation on that part. The part is then moved to the drilling station where the PUMA robot perform the operation sequence according to the stored process plan. After each part is manufactured, the robot moves the drill to the view point of the tool monitoring camera, where an image of the drill head is captured. This image is then processed with the developed tool monitoring algorithm and tool wear is identified.

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