Obstacle avoidance robot based on visual feature binding and reinforcement learning theory
A technology of reinforcement learning and visual features, applied in the direction of two-dimensional position/channel control, etc., can solve complex application process and other problems, and achieve the effect of rich information and good uniqueness
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[0165] The present invention is an obstacle avoidance robot based on visual feature bundling and reinforcement learning theory, and its specific implementation is as follows. The invention is composed of a host module, Kinect RGB and depth camera, stm32 robot control module, radio receiving module, motor drive module, serial communication module and intelligent robot body structure.
[0166] The image collection part is collected by kinect(7). The RGB camera and infrared depth camera in kinect(7) are used to collect image data to obtain real-time images with RGBD information for the PC host to analyze and process.
[0167] The robot communication part uses the RS-232 (12) serial communication interface to transmit the control signal generated after the host computer processes and recognizes the image. Realize real-time wired communication between the host and the robot control module to ensure the stable transmission of control signals.
[0168] The robot control part uses STM32F10...
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