Robot bird flying controllability evaluation system and evaluation method

Abstract

The invention discloses a robot bird flying controllability evaluation system and evaluation method. According to the evaluation system, a micro processor B produces stimulus pulse sequences with gradually changed strength according to the preset rule, a micro processor A is in charge of GPS data analysis and relevant information record, the micro processor B cooperates with the micro processor A, the relevant test data collection of a robot bird to be detected are completed in a cooperated manner, the collected data are processed through a data analysis system of a computer before being converted into a trajectory based on an electronic map, whether the robot bird has the flying controllability or not can judged on the basis of the trajectory and the relevant information, and the evaluation whether the robot bird is qualified or not can be completed. By the aid of the system, the comprehensive evaluation of the robot bird flying controllability can be realized, the prior information required by flight navigation can be acquired, the blindness of subsequent flight navigation tests is reduced, a large amount of invalid repetitive work is avoided, the working efficiency is improved greatly, and the robot bird practical progress can be accelerated.

Description

Technical field [0001] The invention relates to the field of animal robot control, in particular to an evaluation system and evaluation method for the controllability of a robot bird flying in a free space. Background technique [0002] Animal robots are intelligent animals that use live animals as their main body and use coded electrical signals to control their brain nerves or muscles to control the main body. The robot bird is one of the animal robots. For example, with the pigeon as the main body, the movement of the pigeon can be controlled by micro-electric stimulation of the related nerve nuclei, so that the pigeon becomes a controlled robot bird. The working principle is as follows: The thalamic nucleus dorsalis intermedius ventralis anterior (DIVA) and archistriatum (archistriatum) are selected as the stimulated nerve nuclei. Experiments have proved that if the left / right DIVA of the robot bird’s brain is stimulated, the robot bird moves to the left / right direction; the...

AI Technical Summary

Problems solved by technology

It is precisely because of the lack of evaluation techniques and methods that the prior information of the tested robot bird cannot be obtained

This leads to the lack of a comprehensive assessment of the controllability of the tested robotic bird, the lack of assessment of the correspondence between the controllable sensitivity and the stimulus intensity, and the lack of definition of the appropriate range of stimulus intensity for the three neural nuclei of the tested robotic bird

This leads to a great blindness in the flight navigation experiment of the robot bird, and a large amount of invalid repetitive labor is generated in the experimental process, the method is unscientific and inefficient

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