This research is based on national competition KRCI (Intelligent Robot Contest Indonesia), in which the robot can perform exploration track, look for candles in track and extinguish the candle. In this study focuses on the development of robot algorithms, where the algorithm is a depth-first search. The study also discusses the sensors are used; this is because the sensor as the robot senses. The sensors are IR sensor ranger, PING, UVTron, photodiode, sound activation, and compass. Tests conducted robots, there are 3 phases: testing of sensors, mobile robotic testing, testing the entire system. Results of the study showed that the movement of robots is strongly influenced by the value of the proximity sensor; the introduction of the nodes on the track is also influenced by the proximity sensor. The success rate in exploration robot track and extinguish the candle is 85%. Robot requires an algorithm to estimate sensor data error. Exploration algorithm tracks the robot needs to be developed by using fuzzy logic, neural network or genetic algorithm
Frederick, Shuwanto F, Stefen and Wiedjaja. (2010). MOBILE ROBOT NAVIGATION USING DEPTH FIRST SEARCH ALGORITHM. Teknik Komputer, 18 (1), 11-18.
mobile robot, navigation system, depth-first search, sensor