Visual servo control for intelligent guided vehicle

Intelligent Guided Vehicles can attain superior navigation capability through visual servo techniques. Vision guided wheeled mobile robots that autonomously track visible paths are non-holonomic systems with high non linearity. Their control is not amenable to time invariant state feed back. Vision based control includes visual sensing of track nature, spatial synchronization of track state to control stream for junction resolving and handling of vehicle mechanism's constraints through kinematics behavior model. Development of visual-servo processor and the encompassing test bed environment that generates model view of optimized tracking process is discussed.