Showing papers on "Intelligent sensor published in 1984"

An Intelligent Robotics Control Scheme

Abstract: The problem of robot control is viewed at the level of communicating high-level commands produced by intelligent algorithms to the actuator/sensor controllers. Four topics are considered in the design of an integrated control and communications scheme for an intelligent robotic system: the use of abstraction spaces, hierarchical versus heterarchical control, distributed processing, and the interleaving of the steps of plan creation and plan execution. A scheme is presented for an n-level distributed hierarchical/heterarchical control system that effectively interleaves intelligent planning, execution, and sensory feedback. A three-level version of this scheme has been successfully implemented in the Intelligent Systems Research Lab at NASA Langley Research Center. This implementation forms the control structure for DAISIE (Distributed Artificially Intelligent System for Interacting with the Environment), a testbed system integrating AI software with robotics hardware.

Computer architecture for grasping

Abstract: The Integrated Tactile Network Architecture or ITNA is a hierarchical system for managing the interaction of tactile sensing and motor control in the 3-D active sensory environment. The overall ITNA includes custom dedicated hybrid front end tactile arrays incorporating electronics and microprocessors for sensor linearization, tactile information preprocessing, and local feature extraction approaches to the distributed motor control of manipulator fingers for grasping; interconnection networks for guarded movement and reflex arcs; and special purpose hardware for model generation derived from tactile information. This paper primarily addresses the overall ITNA structure and, in particular, the design of an intelligent sensor array and its associated communications subsystem.

Some Applications Of On-Line Vision Sensing In Industry

Abstract: Through the use of intelligent sensors such as vision, conventional machines are able to react and decide for themselves how to adapt to changing circumstances. This paper reviews the increased scope that can be achieved in manufacturing processes by automatically controlling groups of machines under the master control of intelligent sensors. The paper will refer to examples from a wide range of industries.