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This paper is focused on a complex robotic process called bin-picking. It is a very known and well-researched topic in the field of robotic manipulation where the robot is expected to grasp non-oriented objects from a bin and placed them to locations within the following process flow. Although we present here a functional case study of a bin-picking system based on a modified revolving vision system,...
Using standard 6 DOF industrial robots for machining applications represents a significant market potential. Industrial robots have become a tool for various machining processes due to its universality — an ability to perform any type of movement in space — and low price compared to CNC milling machines. However, there are still limitations concerned with a much lower absolute accuracy, in comparison...
Industrial 6DOF robots have become a tool for various machining processes due to its universality — an ability to perform any type of movement in space — and low price compared to standard 5-Axis milling machines. However, main limited factors stems from the fact that the robot accuracy with serial kinematics is much lower in comparison with CNC machines. Using the robots for machining is therefore...
This paper relates to a vision-based system for robotic grasping of various objects randomly organized in a bin. In other words, this work deals with the bin-picking problem where the objects that are about to recognize by the vision system are placed in a bin non-oriented, interlocked, jumbled and/or heavily occluding each other. Concerning the industrial applications, demands for a functional technology...
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