Utilization of Fuzzy Logic Control in a Waste Robot

This research aimed to design and develop an autonomous robot to feasibly address waste disposal issues in common indoor places. The researchers explored opportunities to improve path planning using Fuzzy Logic Control (FLC). The researchers utilized a Microcontroller Unit (MCU) to control input proximity, sound, and infrared sensors, and output geared Direct Current (DC) motors through machine learning and electromechanical interface. The researchers simulated an adaptive algorithm using Mamdani-type FLC model, implemented using C programming language, then downloaded as machine code to a real prototype. Based on significant test results, the waste robot accurately detected human interference, a feature that would be pivotal in overcoming individual indifferences on waste management.