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Progress robot development very varied almost all fields seize the attention of the world's scientists and researchers. For some cases, robots are generally used to help humans in relieving job. The robot can replace human mobilization for move so that the efficiency of wasted time will be less. Many things need to be note what kind of robot control reliable to replace human work in mobilization....
The stability of the movement of an Automated Guided Vehicle (AGV) directly affects the safety of the delivered goods. Variation of loads during the delivery process is one of causes of the instability movement of an AGV. This research discusses the design and implementation of the AGV's speed control system to tackle the load and contour variation using Fuzzy Inference System integrated with PID...
Distribution of goods using Automated Guided Vehicle has been widely used by some of industry. The stability of vehicle movement directly affected to the safety of delivery. Load is one of major factors that caused instability movement of the vehicle. This research discusses the movement control algorithm of weighted vehicle by trolley using Fuzzy Inference System. The trolley as a load carrier of...
Autonomous Aerial Fire Extinguisher is one of the categories in Indonesian Aerial Robot Contest (Kontes Robot Terbang Indonesia-KRTI). This is a national contest for Unmanned Aerial Vehicle (UAV). The background of this contest is to give solution for forest fire in Indonesia. In this contest, the UAV needed to detect and determine a fire position placed in an indoor area which then will be extinguished...
Most localization algorithms use a range sensor or vision in a horizontal view, which usually imparts some disruption from a dynamic or static obstacle. By using landmarks on ceiling which the vehicle position were vertically measured, the disruption from horizontal view was reduced. We propose an indoor localization and navigation system based on an extended Kalman filter (EKF) and real-time vision...
This paper presents the implementation of the particle filter (PF) to solve the simultaneous localization and mapping (SLAM) problem in mobile robot, particle filter is used to localize the mobile robot with a laser range finder (LRF) sensor. On this experiment we used the real data that taken from our robot. We used the weighted mean in a small window around the best particle called robust mean as...
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