Medical transportation robot based on fish swarm effect and self-adaptive cruise following method
A fish swarm effect and robot technology, applied in the field of medical robots, can solve the problems of affecting immunity, susceptible to infectious diseases, physical and psychological effects, etc., to achieve the effect of reducing human intervention, reducing accidental infection, and easy control
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Embodiment 1
[0073] like figure 1 and 2 As shown, the present invention discloses a medical transport robot based on the fish swarm effect. The driving function of the medical transport robot is designed and completed, and in the case of multi-robot sharing lanes, the adaptive cruise of multi-robots is realized through the control algorithm. Or follow the driving, the medical transport robot includes a transport box 1, a camera 2, a laser radar sensor 3, an infrared obstacle avoidance sensor 4, a robot body 5 and several wheels 6, wherein:
[0074] The transport box 1 is arranged above the robot body 5 for placing medical supplies inside;
[0075] The inside of the robot body 5 is provided with a controller (not shown), a drive motor (not shown), a WLAN communication module (not shown) and a power supply module (not shown), wherein:
[0076] Described camera 2 is positioned at the front upper part of described robot body 5, is used for by carrying steering gear control, gathers the image...
Embodiment 2
[0093] According to the foregoing embodiments, the design of a single medical transport robot is completed, such as image 3 As shown, on this basis, the present invention also discloses a fish swarm effect-based medical transport robot adaptive cruising and following method, using a plurality of the above-mentioned multifunctional medical transport robots to drive cooperatively, including the following steps:
[0094]Step 1: The sensor of the robot collects the current motion state of the robot in real time, including the speed and acceleration of the robot. If it senses that there is another robot in front, it will also collect the distance between the two;
[0095] Step 2: According to the current vehicle speed and the distance between the two, compare it with the distance between the two after a fixed time, you can get the comparison between the speed of the previous robot and the speed of the current robot;
[0096] Step 3: When adaptive cruising and following are require...
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