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arXiv 2201.07882cs.ROcs.CV
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An Automated Robotic Arm: A Machine Learning Approach

St. Joseph Engineering College(圣约瑟夫工程学院);New Horizon College of Engineering(新视野工程学院);N.M.A.M.I.T, Nitte(N.M.A.M. 理工学院,尼特)

Krishnaraj Rao N S, Avinash N J, Rama Moorthy H, Karthik K, Sudesh Rao, Santosh S

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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