• Geetha R

This paper presents the design a 6-DoF robotic arm which can pick up objects in random positions on a 2D surface based on Raspberry Pi, ultrasonic sensors and pi camera. The robotic arm is able to recognize objects based on computer vision for shape detection. The ultrasonic sensor measures the distance between the objects and the robotic arm, and the position of the objects in the real world will be detected by its mass center in the image to improve the accuracy of the pick-up movement. The movement of the robotic arm also can be controlled by an voice bot assistance device. The experiment of applying the convolution neural network to control the robotic arm pick-up movement is achieved. The convolution neural network can manipulate the position of the robotic arm to pick up objects after training the robot.

robotic arm, computer vision, object detection, voice bot assistance, and raspberry pi.

"Design of a voice control 6DoF grasping Robotic Arm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d562-d568, July-2021, Available :http://www.jetir.org/papers/JETIR2107463.pdf

"Design of a voice control 6DoF grasping Robotic Arm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd562-d568, July-2021, Available at : http://www.jetir.org/papers/JETIR2107463.pdf