Human Robot Interface and Visual Compressive Detecting on Robot Arm

Zaiba .; Ambika Sekhar

Abstract

Vision compressive sensing, brain machine reference commands, and adaptive controller have been effectively integrated that enable the robot to perform manipulation tasks as guided by human operator’s mind and according to its innovative views. The ideology proposed consists of following main phases: (1) action recognition (2) hardware interfacing. Initially action recognition captures video according to movements enacted in recognition system. Later, in hardware interfacing it passes required commands by a sensor attached to microcontroller that senses the input, detects where the arm to be moved and provides better accuracy for the movements to be performed. Thus this system maintains robust communication that can manipulate actions and cognitive emotions. In IoT, the server will upload data to client with the help of MQTT protocol to access robot from anywhere across the world.Cite this Article Zaiba, Ambika Sekhar. Human Robot Interface and Visual Compressive Detecting on Robot Arm. Current Trends in Information Technology. 2018; 8(3): 5–12p.

Abstract

Keywords