Experiment with an Automated Visual Inspection System
Experiments were performed with an automated visual inspection system that detects potential flaws by comparing reference and comparison images.
Engineering topics
Publications and source records attributed to Chalfant, Eugene C..
Experiments were performed with an automated visual inspection system that detects potential flaws by comparing reference and comparison images.
A subsumption planner using a parallel distributed computational paradigm based on the subsumption architecture for control of real-world capable robots is described. Virtual sensor state space is used as a planning tool to visualize the robot's anticipated effect on its environment. Decision sequences are generated based on the environmental situation expected at the time the robot must commit to a decision. Between decision points, the robot performs in a preprogrammed manner. A rudimentary, domain-specific partial world model contains enough information to extrapolate the end results of the rote behavior between decision points. A collective network of predictors operates in parallel with the reactive network forming a recurrrent network which generates plans as a hierarchy. Details of a plan segment are generated only when its execution is imminent. The use of the subsumption planner is demonstrated by a simple maze navigation problem.