Adaptive AGV robot and adaptive navigation method
A robotic and self-adaptive technology, applied in manipulators, program-controlled manipulators, manufacturing tools, etc., can solve problems such as difficulty in later changes and adjustments, increased self-weight, and difficulty in increasing the maximum load of the manipulator
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Embodiment 1
[0083] Such as figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 As shown, this embodiment discloses an adaptive AGV robot, which includes a car body, a navigation device arranged on the car body, and an execution device arranged on the car body.
[0084] Specifically, the navigation device includes a processor, a detection radar 21, a detection camera 20, a first filter and a second filter, and the detection radar, the detection camera, the first filter and the second filter are respectively connected with the processor connected.
[0085] In this embodiment, the detection radar is a laser detection radar, the first filter is a laser radar filter; the detection camera is a depth camera, and the second filter is a depth camera point cloud filter.
[0086] The laser radar is installed and fixed according to a certain downward inclination, so that it can detect obstacles in a certain height range; the installation position of the depth camera is facing the front of th...
Embodiment 2
[0115] This embodiment discloses a method for adaptively navigating the robot disclosed in Embodiment 1, which mainly includes pathfinding steps during operation and processing steps after collision:
[0116] Pathfinding steps:
[0117] S01: Use the depth camera to perform scene recognition and data acquisition outside the range of 0.5 meters to form point cloud data; filter the point cloud according to the normal vector direction, and exclude all points whose normal vector direction is within 10 degrees from the Z-axis direction; The remaining points are sent to the obstacle map the robot is traveling on. In this way, all horizontal surfaces can be filtered out, leaving only real obstacle points; if there is a low slope ahead, since the normal vector of the slope is still within 10 degrees of the Z-axis direction, the points on the slope will still be filtered out, and will not be considered a hindrance.
[0118] S02: Use laser radar to scan and detect within 0.5 meters to ...
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Abstract
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