Vehicle-Mounted with Tracked Robotic System Based on the Kinect
Juan Fang, Mu Qiao, Yijian Pei · 2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) · 2019
In the research of robot controlling, existing methods are mainly traditional human-computer interactive control methods such as mobile APP or handle. These traditional methods, however, rely on external devices to control the robot, which is inefficient to perform more complex functions. Although the Kinect has more benefits than other sensors in motion recognition, there is still no proper research on motion and gesture recognition of a tracked vehicle robot. Therefore, this paper proposes a research method of vehicle robot system based on Kinect dynamic gesture recognition of depth information. By using the Kinect sensor, we can recognize and obtain information such as human bones and gestures, and finally, realize accurate control of vehicle-mounted robots with multiple gestures.