Architecture And Automatic Task Planning For Integrated Sensor-based Robots

Abstract

Intelligent robots interact with the real world by employ- ing their advanced sensory mechanisms to perceive their environment, and their effectors and tools to change the state of their environment. Such intelligent robots should possess three important capabilities: (1) planning, i.e., given a goal, the ability to generate a set of task plans which will lead to achieving the goal, (2) coordination and execution of the perceptual actions, i.e., the abilities to coordinate sensors, acquire sensory data, and process, in- terpret and transform the sensory information, and (3) coordination and execution of the motor actions, i.e., the ability to navigate in their environments and the ability to coordinate effectors and tools and manipulate objects to accomplish assigned tasks. In this paper we introduce a System Architecture for Sensor-based Intelligent Robots, (SASIR), constructed using a frame data structure, which provides a suitable and flexible scheme for representation and manipulation of the world model, the sensor derived information, as well as for describing the actions reqnired for the execution of a specific task.