Abstract
This paper presents a humanoid robotic arms controlled by tracking the human skeleton movement in real-time using Kinect upper limbbody tracking. Using Kinect tracking algorithm, the positions of upper limb arms of the body to the wrist in 3D space can be estimated by processing depth images from the Kinect. An extraction of 3D co-ordinates of the user’s both arm in real-time then Arduino microcontroller is transferring the data between both of computer and the humanoid robotic arm. This method provides a way to send movement task to the humanoid robotic manipulator instead of sending the end position motion like gesture-based approaches and this method has been tested in detect, tracking and following the movement of human skeleton gesture. Designing complete prototype of a humanoid robotic arms with 4DOF three joints in shoulder and one elbow joint to the wrist that look like the Human arm Structure, Appearance and Action that represent human arm movement performed by the humanoid robotic arm. The error was and response time result generated is small (less than 4.6% and 105 ms).
Highlights
In these days, the Robots can be helpful as possible and be able to assist humans in their everyday activities, it is proposed that they should have a human-like structure and behavior
This paper presents a method of humanoid robotic arms controlled by tracking human upper body limp movement using Kinect‐based 3D coordination arms to the wrist
The RGB images and depth images are captured by the Kinect which is fixed in the front of the operator [1]
Summary
The Robots can be helpful as possible and be able to assist humans in their everyday activities, it is proposed that they should have a human-like structure and behavior. The idea of robots being able to have the abilities of a human brain is not entirely accepted This is due to the possibility that, if robots have proper intelligence, they might turn against the human race and take over. Kinect arms tracking is used to acquire 3D skeleton position, and it sends the data to the humanoid robotic manipulator by an Arduino interface to enable the robotic manipulator to copy the operator’s arms motion in real-time This natural way to communicate with the robot allows the operator to focus on the task instead of thinking in terms of limited separate commands that the human-robot interface can understand like gesture-based approaches [1].
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