NDLI: Specknet infrastructure for Cyber-Physical Systems

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2008 First Conference on IT Revolutions

Welcome message from general chair

The primacy of paradox

Specknet infrastructure for Cyber-Physical Systems

Humanodes in a global superorganism: Are we entering the dawn of the post-human era?

Keynote Speaker: Ebon Fisher

Beyond artificial intelligence, toward engineered psychology

The era of rationality?

Table of contents

Towards learning 2.0

A connectionistic knowledge-based approach to the modelling and control of manufacturing systems

Output distance functions from a complexity perspective: The Neural Network approach

LR-WPAN technologies. An approach to industrial applications

Way to go for AI

S&T foresight: A tool for prospecting the security and prosperity implications of convergent technologies 2010–2025

Bilinear-pairings based designated-verifier multi-proxy signatue scheme

Converged Media and Communication Services

Industrial IT revolution through wireless sensor network technologies

Intelligent wireless manufacturing IT methodologies and technologies

Lessons from the past for the future Internet

Specknet infrastructure for Cyber-Physical Systems

Content Provider	IEEE Xplore Digital Library
Author	Arvind, D.K.
Copyright Year	2008
Description	Author affiliation: Sch. of Inf., Univ. of Edinburgh, Edinburgh (Arvind, D.K.)
Abstract	In an iconic sequence in the 1930's film ldquoModern Timesrdquo - a commentary on the banality and boredom of life on an industrial production line, Charlie Chaplin is seen working on a conveyer belt, trapped in an endless loop of repetitive actions. In more recent times, the human on the conveyer belt has been replaced by robots corralled in their own pens, and their interaction with the human is a distant one, if at all. The vision of the future is altogether different: robots and humans living cheek by jowl and interacting as part of a wider cyber-physical system. The talk will explore the fabric of such as a system based on specknets: wireless sensors on the human for real-time motion capture is networked wirelessly with humanoid robots to provide unprecedented levels of flexibility and freedom in real-time interactions. The resulting ldquophysical avatarrdquo acts as a physical presence, either near or afar, taking the place of the human operator for purposes of communication, exploration and object manipulation in collaboration with other such robots or humans. An in-built online learning and classification system allows motions of a human operator to be learned by the robot. We discuss whether everyday use of a motion-capture physical avatar may eventually provide enough training data to adequately prepare robots for autonomous operation. The talk will be interspersed with videos of the implementation of the infrastructure.
Starting Page	1
Ending Page	1
File Size	67752
Page Count	1
File Format	PDF
ISBN	9789639799387
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	ICST
Content Type	Text
Resource Type	Synopsis

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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