Soft Computing Robot Navigation Case Study

This contribution presents Soft Computing Robot Navigation for mobile robot SCORCAS, a Case Study. The Navigation uses fuzzy logic experienced on mobile robot systems. Fuzzy logic is applied in analogous way into three sub-systems: i. Sensor, consisting of five autonomous sensor sub-systems: visual, acoustic, tactile, thermal and inertial; ii. Sensor fusion that comprise all the robot stimulus in environment image representation; iii. Path planning – responsible for trajectory generation. These systems are implemented into experimental prototype. Some results are reported.

• Type: Conference
• Year: 2007
• Where: EUSFLAT
• Authors: Dimitar Vassilev Lakov, Margarita Raykova Saralieva
• Keywords: Computing Robot Navigation, EUSFLAT 2007, Fuzzy Logic, Mobile Robot