Autonomous observation

We address the problem of observing an agent?? We advocate a modeling approach for the visual system and its observer where a discrete event dynamic system DEDS framework is developed and events are de ned as ranges on parameter subsets?? The dynamic recursive context for nite state machines DRFSM is described with some applications in the inspection and reverse engineering domain?? We propose a system for observing a manipulation process where a robot hand manipulates an object?? We recognize the hand object interaction over time and a stabilizing observer is constructed?? Low level modules are developed for recognizing the events that causes state transitions within the dynamic manipulation system?? The work examines closely the possibilities for errors mistakes and uncertainties in the manipulation system observer construction process and event identi cation mechanisms?? The DRFSM DEDS systems utilizes di erent tracking techniques in order to observe and recognize tasks and agents in an active adaptive and goal??directed manner??