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Robots are used in a wide extent in automobile manufacturing industry. This system adds to the safety and flexibility of the stages of production. These robots protects the employees from dangerous, difficult and dirty tasks, improve quality, relieve bottlenecks, and improve capacity. In this paper, we propose a novel pick and place robot for sensing, control and manufacture in automobile industry. The payload and mean error rate are analysed and the performance of the robot is analysed and optimized. This technology is more affordable and can be installed for speeding up the manufacturing process and improve the production rate.

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