Supporting a Human-Aware World Model Through Sensor Fusion

Precise In-Orbit Servicing by Multisensory Hand-Connected with Long Arm

Journal of Robotics and Mechatronics ◽

10.20965/jrm.2000.p0371 ◽

2000 ◽

Vol 12 (4) ◽

pp. 371-377

Author(s):

Kazuo Machida ◽

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Yoshitsugu Toda ◽

Mitsushige Oda ◽

Keyword(s):

Work Environment ◽

Sensor Fusion ◽

Hybrid Control ◽

Robotic Hand ◽

Robot Arm ◽

World Model ◽

The World ◽

Manipulator Arm ◽

Contact Sensors ◽

Target Satellite

This paper presents the space experiment of in-orbit servicing from a chaser satellite to a target satellite, using a multisensory hand connected with a long arm. The experiment is carried out to acquire the technology that enables a long robot arm to perform highprecision tasks through the smart hand. A three-finger multisensory hand, ARH (Advanced Robotic Hand), is connected to the 2.4m length manipulator arm, ERA (ETS RobotArm), in orbit, and sample retrieving from ""Orihime"" to ""Hikoboshi"" is achieved in this configuration. The work environment is measured by sensor fusion of the range sensors, hand-eye camera and contact sensors, and the world model is precisely calibrated before the task. The sample retrieving is successfully performed due to the position/force hybrid control of the arm and fine compensation by the hand mechanism under multisensory monitoring.

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Application of Scaled World Model for Usability Testing of Fall Arrest System in Residential Construction

PsycEXTRA Dataset ◽

10.1037/e572172013-428 ◽

2012 ◽

Author(s):

Joseph Angles ◽

Gabrielle Trochez ◽

Akiko Nakata ◽

Tonya Smith-Jackson ◽

Daniel Hindman

Keyword(s):

Usability Testing ◽

Residential Construction ◽

World Model ◽

Fall Arrest ◽

Scaled World

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The psychophysics of sensor fusion: A multidimensional signal detection analysis

PsycEXTRA Dataset ◽

10.1037/e577712012-081 ◽

2006 ◽

Author(s):

Jason S. McCarley ◽

William K. Krebs

Keyword(s):

Signal Detection ◽

Sensor Fusion ◽

Detection Analysis ◽

Multidimensional Signal ◽

Signal Detection Analysis

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Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽

10.32603/2412-8562-2020-6-3-109-117 ◽

2020 ◽

Vol 6 (3) ◽

pp. 109-117

Author(s):

O. M. Polyakov

Keyword(s):

Artificial Intelligence ◽

Mathematical Logic ◽

Natural Language ◽

Semantic Interpretation ◽

General View ◽

World Model ◽

Semantic Approach ◽

Natural Languages ◽

The World ◽

Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

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