Path planning for collision avoidance using a glid-like space

Many remote-control robots are being developed. And they are hoped to work in extreme environmental conditions such as lifesaving or rescue. These robots required complicate movement and precise works. Almost remote controller are often discussed for the position control on the end effector under camera images. However, it is difficult to control a robot arm using limited information in the monitor, as it is difficult for personnel to perform sensitive work while controlling a robot with the limited view information. This results in high stress for the driver and can cause operational mistakes. Therefore, it is important to use robot easily under a limited view. In this report, we propose a simplification method for a beginner user. We present a computed support system to control the robot arm easily with increased sensitivity, combined with grid-like space and a joystick.