Real time robot soccer game event detection using finite state machines with multiple fuzzy logic probability evaluators

• Main Authors: Dadios, Elmer P., Park, Soo Ho
• Format: text
• Published: Animo Repository 2009
• Subjects: Fuzzy logic; Robotics in sports; Fuzzy systems; Algorithms; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3672; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4674/type/native/viewcontent/375905.html
• Institution: De La Salle University

This paper presents a new algorithm for real time event detection using Finite State Machines with multiple Fuzzy Logic Probability Evaluators (FLPEs). A machine referee for a robot soccer game is developed and is used as the platform to test the proposed algorithm. A novel technique to detect collisions and other events in microrobot soccer game under inaccurate and insufficient information is presented. The robots' collision is used to determine goalkeeper charging and goal score events which are crucial for the machine referee's decisions. The Main State Machine (MSM) handles the schedule of event activation. The FLPE calculates the probabilities of the true occurrence of the events. Final decisions about the occurrences of events are evaluated and compared through threshold crisp probability values. The outputs of FLPEs can be combined to calculate the probability of an event composed of subevents. Using multiple fuzzy logic system, the FLPE utilizes minimal number of rules and can be tuned individually. Experimental results show the accuracy and robustness of the proposed algorithm. Copyright © 2009 E. P. Dadios and S. H. Park.