Dangerous Environment Based On Human-computer Interaction Research And Development Of Small Investigative Robot

In recent years,World Horror events,countries and regions have frequent natural disasters,which have made urgent needs for the advanced special robots used to carry out reconnaissance,counter-terrorism,explosion and dangerous operations in dangerous environment.In the process of carrying out the task of counter-terrorism,search and rescue and detection,it is a key link to understand the situation of the scene.It is the prerequisite for the successful completion of the task to fully grasp the environment situation.Therefore,it is of great significance to develop small scouting robots for dangerous environment detection.In this paper,a small detection robot for dangerous environment based on human-computer interaction is proposed.The detection robot is remote controlled by the upper PC,and the precision control of the running speed of the reconnaissance robot is completed by the digital PID control algorithm.The infrared sensor completes the obstacle avoidance function.The camera module on the vehicle body of the investigative robot is used to collect the image information around the car body and transmit it to the upper PC by wireless transmission and display it in real time.This completes the design requirements of speed control,autonomous obstacle avoidance and image acquisition for reconnaissance robots.In the system design,modularization is used for hardware design and software programming,and the designed system has high reliability.In general,system design is divided into robot body design,control circuit design and software programming.After completing the physical design of the reconnaissance robot,the module is tested and tested.The test result is ideal and accords with the expected design.In this paper,the development trend of the dangerous environment reconnaissance robot is combined,and the key technology of the reconnaissance robot is studied.The results of this study provide the design basis for the knowledge theory and the practicality of the reconnaissance robot.