NASA space station automation: AI-based technology review

Research and Development projects in automation for the Space Station are discussed. Artificial Intelligence (AI) based automation technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics. AI technology will also be developed for the servicing of satellites at the Space Station, system monitoring and diagnosis, space manufacturing, and the assembly of large space structures

NASA space station automation: AI-based technology review. Executive summary

Research and Development projects in automation technology for the Space Station are described. Artificial Intelligence (AI) based technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics

An Abstraction for Correspondence Search Using Task-Based Controls

Abstract. The correspondence problem (finding matching regions in images) is a fundamental task in computer vision. While the concept is simple, the complexity of feature detectors and descriptors has increased as they provide more efficient and higher quality correspondences. This complexity is a barrier to developers or system designers who wish to use computer vision correspondence techniques within their applications. We have designed a novel abstraction layer which uses a task-based descrip-tion (covering the conditions of the problem) to allow a user to commu-nicate their requirements for the correspondence search. This is mainly based on the idea of variances which describe how sets of images vary in blur, intensity, angle, etc. Our framework interprets the description and chooses from a set of algorithms those that satisfy the description. Our proof-of-concept implementation demonstrates the link between the description set by the user and the result returned. The abstraction is also at a high enough level to hide implementation and device details, allowing the simple use of hardware acceleration.

Intelligence: the Eye, the Brain, and the Computer

This book presents a view of intelligence, both human and machine. It provides an understanding of the concept of intelligence, the nature of the cognitive and perceptual capabilities of people and computers and the representations and algorithms used to attain intelligent behaviou

Perceptual problems in analyzing . . .

Given recent advances In Image processing and analysis techniques, It seems that It should be within the state of the art to perform automatic analysis of Industrial radiographs to locate defects in manufactured Items. However, human inspectors are routinely able to detect certain subtle defects that are beyond our current capabil ltles in Image processing. This paper describes a specific radiographic inspection problem (analysis of the filler in an artillery shell), indicating the difficulties that arise in trying to detect subtle flaws, and especially flaws close to material boundaries. The relationships between human perception and the computer algorithms are indicated, and unexpected differences are pointed out (for example, the boundary determined by the human observer differs from the boundary position determined by most algorithms using a change of intensity criteria)