This paper is a synopsis from a study of sensor data fusion and artificial intelligence (AI) aspects of blackboarding systems (or belief structure methodology). The study promotes the design of a knowledge base for robot motion control and a decisionmaking scheme for a robot working in an environment, using multiple sensors for guidance and control. Advanced manipulator control systems require output processing from several sensors, fusion of the sensor data, and determination of motions that best adjust the end-effector position for an optimal motion trajectory. A method to weigh the data from the manipulator guidance sensors and rules for sensor output processing will be proposed.
"Sensor Information Fusion And A Robot Decisionmaking Methodology", Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950831; https://doi.org/10.1117/12.950831