The invention relates to the technical field of industrial
automation and robots, in particular to a forklift goods forking method and
system based on tray position
visual identification, and the method comprises the steps that an AGV body travels to a fan-shaped area,
point cloud information is collected through a
radar to be matched with tray characteristics, and the initial position of a tray is calculated; planning a retreating curve, driving to a
visual identification position, and controlling the AGV body to retreat and fork after primary
visual identification, error adjustment and secondary visual identification accurate positioning; the forking state is detected through a tray in-place switch and a fork tip
photoelectric sensor, and the result is judged. The
system comprises an AGV body, a recognizable tray and a scheduling module, and the AGV body carries a controller, a
radar, a camera, an in-place switch and a
photoelectric sensor. According to the scheme, SLAM accumulated errors are eliminated through
laser-vision double recognition, tray deviation is adapted, recognition reliability is improved in a fan-shaped area, a
narrow channel strategy widens the range, intervention is reduced, and the forking success rate and efficiency are improved.