Abstract:

This research project consists of the design of a robot model equipped with artificial intelligence, with the capacity to deliver drugs to patients with COVIT-19, during their hospitalization; in this way, health personnel are not exposed to the risk of contagion of this disease. The humanoid-looking assistance robot is programmed in such a way that the assistance personnel indicate by means of the numerical keyboard to which bed to go, the robot moves and locates the number of the patient's bed through pattern recognition, facilitating the medication and conclude with care. The sensor system detects the objects around it, capturing this information to transmit it to the neural networks, which tells the robot which is the best path to take. Neural networks and artificial vision are captured in an Arduino microcontroller. These mathematical models have been processed in the Matlab software and the operating results obtained reflected that, the proposed model and the viability of the simulations, allowed to verify with response time, the learning results of the neural network for the displacement and the recognition of the patient's bed number. All these systematized actions are developed with the concurrent design methodology that contains five stages, conceptual design, kinematic analysis, dynamic analysis, mechanical design and simulation. The assistance robot was designed, with neural networks and artificial vision, adding sensors, actuators and peripherals.