An Automated Robotic Arm: A Machine Learning Approach
- URL: http://arxiv.org/abs/2201.07882v1
- Date: Fri, 7 Jan 2022 10:33:01 GMT
- Title: An Automated Robotic Arm: A Machine Learning Approach
- Authors: Krishnaraj Rao N S, Avinash N J, Rama Moorthy H, Karthik K, Sudesh
Rao, Santosh S
- Abstract summary: The modern industry is rapidly shifting from manual control of systems to automation.
Computer-based systems, though feasible for improving quality and productivity, are inflexible to work with.
One such task of industrial significance is of picking and placing objects from one place to another.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The term robot generally refers to a machine that looks and works in a way
similar to a human. The modern industry is rapidly shifting from manual control
of systems to automation, in order to increase productivity and to deliver
quality products. Computer-based systems, though feasible for improving quality
and productivity, are inflexible to work with, and the cost of such systems is
significantly high. This led to the swift adoption of automated systems to
perform industrial tasks. One such task of industrial significance is of
picking and placing objects from one place to another. The implementation of
automation in pick and place tasks helps to improve efficiency of system and
also the performance. In this paper, we propose to demonstrate the designing
and working of an automated robotic arm with the Machine Learning approach. The
work uses Machine Learning approach for object identification detection and
traversal, which is adopted with Tensor flow package for better and accurate
results.
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