IEEE Robotics and Automation Society IEEE

Special Issue on Advances and Applications of Internet of Things for Smart Automated Systems

A special issue of the IEEE Transactions on Automation Science and Engineering.

Introduction

The Internet of Things (IoT) refers to uniquely identifiable objects and people as well as their virtual representations in an Internet-like infrastructure. After the Web and mobile accessibility, IoT has been hailed as another technological revolution of our lifetime, even more promising with smart automated systems (such as Smart Cities, Smart Grid, Smart Factories, Smart Buildings, Smart Homes, and Smart Cars). In such systems and related applications, it is important to effectively design and implement methods and architectures able to effectively collect, manage, and process large/complex data sets and processes, and ultimately to manage and control IoT-enabled systems at different levels (from local to global), as they are composed of many networked entities of different scales (smart objects, sensors and actuators, embedded computers, mobile devices, machines, factories, buildings, and people). The large-scale nature of IoT-enabled systems raises a number of specific challenges including: effective data collection, cleaning, and storage; data latency and real-time Big Data analytics; novel methods for global system control; effective development of large-scale management platforms; well-defined control interfaces for IoT technologies; and various IoT standards. Moreover, such new findings need to ensure IoT system safety, security and privacy. 

Scope, Description, and More Information

The goal of this special issue is to address these challenges and concerns in order to develop advanced technologies for effectively managing and controlling future IoT systems, to provide insights into real-time Big Data and process management in large-scale IoT contexts, and recent applications to manufacturing, supply chain management, transportation, environment monitoring, energy management, and healthcare. Suggested topics include but are not limited to:

  • Theoretical foundations of controlling/managing/monitoring IoT systems 
  • System design methodologies for IoT systems
  • Control interfaces and human factors in IoT systems
  • Software platforms for managing IoT systems
  • Cyber security in IoT systems
  • Validation of large-scale IoT systems control
  • Data latency and real-time Big Data analytics
  • Sensor networks for smart automation
  • Networks of robots
  • Wearable devices and systems
  • IoT applications to automotive, manufacturing, supply chain management, transportation & logistics, energy & environment, and healthcare

Important Dates

Paper submission deadline 1 June 2015
Completion of the first round review 15 September 2015 
Revised Manuscript due date  15 November 2015  
Final Decisions 15 January 2016 
Final manuscript due 15 February 2016
Tentative publication date 1 July 2016


Paper Submission

Papers should be submitted to http://mc.manuscriptcentral.com/t-ase with a cover letter including the statement “This manuscript is submitted for the special issue on Advances and Applications of Internet of Things for Smart Automated Systems”. For detailed submission information, please refer to “Information for Authors” at http://www.ieee-ras.org/publications/t-ase/information-for-authors.


Guest Editiors

MengChu Zhou, New Jersey Institute of Technology, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Giancarlo Fortino, University of Calabria, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
Weiming Shen, National Research Council, Canada, This email address is being protected from spambots. You need JavaScript enabled to view it.
Jin Mitsugi, Keio University, Japan, This email address is being protected from spambots. You need JavaScript enabled to view it.
J. Jobin, GE Global Research, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Soundar R. T. Kumara, The Pennsylvania State University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Rahul Bhattacharyya, Massachusetts Institute of Technology, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

All enquiries about the special issue should be sent to any of the above guest-editors.

Special Issue on Human-Centered Automation

A special issue of the IEEE Transactions on Automation Science and Engineering.

Introduction

The growing prevalence and scope of automation is evident not only large-scale infrastructure (nextGen transportation systems, aircraft flight management systems, smart grid technologies), but also in small-scale and consumer products (Google Car, the PR2, Nest). Automation encompasses not only simple, repetitive tasks, but also many sophisticated functionalities. However, even in systems in which automation has replaced functionality previously performed by humans, the human is still a central player. As automation becomes “smarter” and more ubiquitous, it is paramount that the human interact with the controlled systems in a safe and efficient way, to help prevent problems in human-automation interaction. In recent years, advances have been made in understanding the behavior of systems with humans and automation: techniques have been developed to enhance situational awareness, to develop a common operating picture across multiple users, and to build predictive models of human behavior in different contexts. However, significant work remains to be done in the development of core scientific and engineering principles in human-automation systems. Analysis and design principles and metrics are needed to guide the design of human-centered control paradigms for semi-autonomous systems. The central heme of the proposed special issue is tools and methods for the design and analysis of human-centered automation systems. Articles in the special issue will focus on generalizable techniques for human-centered automation, as opposed to narrow case studies. Applications may be within or across a wide range of disciplines and physical scales, including biomedical devices, driver assistance systems, aircraft flight management systems, smart buildings, decision aids in supervisory systems, air traffic systems, and others. 

Scope, Description, and More Information


Novel contributions are sought that may include, but are not limited to:


  •  the design and validation of computational models of a system which integrate models of the human with models of autonomous and semi-autonomous systems, such as systems which infer intent of a human operator;
  • the design of systems which ease the exchange of information between humans and autonomous systems; 
  • the analysis and prediction of potential conflicts between the human and the automation; 
  • the design of autonomy to accommodate varying levels of human experience, training, and acuity; 
  • the analysis of information asymmetry in collaborative, semi-autonomous systems; 
  • the design of autonomy for off-nominal conditions, such as multiple sensor failures, human error, or other cascading events; 
  • the design of autonomy to support systems with multiple humans; 
  • the design of autonomous systems which are “self-aware”, so that humans are prompted to intervene when required;

Important Dates

Paper submission deadline February 2015
Acceptance notification September 2015
Tentative publication date January 2016

Paper Submission

All papers are to be submitted through the Manuscript Central for T-ASE at http://mc.manuscriptcentral.com/t-ase. All manuscripts must be prepared according to the IEEE T-ASE publication guidelines and will be reviewed following the standard IEEE T-ASE review process.

Guest Editiors

Meeko Oishi
Assistant Professor
Electrical & Comp. Eng.
University of New Mexico
Albuquerque, NM 87131 
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Dawn Tilbury
Assoc. Dean of Research & Grad. Ed.
Professor, Mechanical Engineering
University of Michigan
Ann Arbor, MI 48109 
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Claire J. Tomlin
Charles A. Desoer Chair
Professor, Elec. Eng. & Comp. Sciences
University of California
Berkeley, CA 94720
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Ninth IEEE International Conference on Automation Science and Engineering (CASE) 2013

A special issue of the IEEE Transactions on Automation Science and Engineering.



Introduction

The ninth annual IEEE International Conference on Automation Science and Engineering (CASE 2013) was held on August 17-21, 2013, at the Madison Concourse Hotel and Governor’s Club, Madison, Wisconsin, USA. IEEE CASE represents the flagship automation conference of the IEEE Robotics and Automation Society and constitutes the primary forum for cross-industry and multidisciplinary research in automation. The conference theme is Automation in Practice. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.

This special issue is by invitation only. It will contain fuller treatments of some of the outstanding papers presented at CASE 2013.



Scope, Description, and More Information

The 2013 Edition of IEEE CASE covers the topics from Foundations of Automation; Agriculture; Life Sciences; Health Care; Automation in Meso, Micro and Nano-scale; Manufacturing Automation; Discrete Event Systems; Scheduling and Optimization; Mechatronics; Laboratory Automation; Sustainable Production; Logistics and Supply Chain Management; Networked and Control Systems; to Power and Energy Systems; Smart Buildings; Big Data and Data Mining; Industrial Informatics; and other Emerging Topics in Automation.

Important Dates

Call for Papers (invitation only) September 27, 2013
Deadline for Paper Submission February 1, 2014
First Review March 31, 2014
Final Review June 30, 2014
Publication October 2014

Special Issue on Home Automation

A special issue of the IEEE Transactions on Automation Science and Engineering.

Introduction

Smart homes, as a part of home automation, are expected to be intelligent and human-aware. The recent Google acquisition of Nest Labs (https://nest.com/), which designs and manufactures sensor-driven, WiFi-enabled, self-learning, programmable thermostats and smoke detectors, is evidence for the potential huge market of smart home technologies in the next decade. At the same time, human-centered computing (HCC) research aims to understand the increasingly coupled relationships between people and computing. HCC research has been accelerating in recent years due to the emergence of mobile devices such as smartphones/mobile tablets, wearable sensors and computers, as well as distributed environmental sensors. Understanding human beings and their contexts can help develop truly smart homes in many ways. For example, using small wearable sensors integrated into clothing or attached to human subjects and intelligent signal processing algorithms, it is possible to obtain the wearer’s status such as activity, gesture, location, emotion and physiological conditions. Such human-awareness can facilitate natural human robot interaction, behavioral monitoring, health monitoring, energy management, wearable robots for rehabilitation, etc., which can be part of a smart home system.The main objective of this special issue is to collect key research papers on the state-of-the-art of human-centered computing and its potential applications in smart homes.

Scope, Description, and More Information

Topics explored in this special issue include, but are not limited to:

  • Human behavioral understanding (including anomaly detection) through wearable or environmental sensors
  • Indoor human localization through wearable or environmental sensors
  • Innovative wearable sensing and computing systems or prototypes
  • Human health monitoring through wearable sensing and computing
  • Affective computing for human-robot interaction and human-appliance interaction
  • Gesture recognition for human-robot interaction and human-appliance interaction
  • Brain computer interfacing for human-robot interaction
  • Wearable robots for rehabilitation or walking assistance
  • Innovative use of smartphones or mobile tablets for smart homes
  • Cloud-based data processing for human-awareness in home automation
  • Building energy management and home comfort management (thermal, visual and air-quality comfort, etc.)
  • Privacy and security issues in home automation
  • Theoretical foundations in human-centered computing
  • New applications of human-centered computing for smart homes

Important Dates

Paper submission deadline 5 January 2015
Completion of the first round review 1 April 2015 
Author rebuttal  1 May 2015  
Final Decisions 1 June 2015 
Final manuscript due 1 August 2015
Tentative publication date 1 October 2015

 

Paper Submission

All papers are to be submitted through the Manuscript Central for T-ASE at http://mc.manuscriptcentral.com/t-ase. All manuscripts must be prepared according to the IEEE T-ASE publication guidelines and will be reviewed following the standard IEEE T-ASE review process. Please address inquiries to This email address is being protected from spambots. You need JavaScript enabled to view it..


Guest Editiors

Weihua Sheng, Associate Professor
School of Electrical and Computer Engineering, Oklahoma State University
Stillwater, OK74078, USA
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Yoky Matsuoka, Ph.D
Vice President of Technology
NEST Labs, Palo Alto, CA, USA
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Yongsheng Ou, Professor
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 518055
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Meiqin Liu, Professor
College of Electrical Engineering, Zhejiang University, Hangzhou 310027,
China.
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Fulvio Mastrogiovanni, Professor
Robotics Engineering, University of Genova, Via Opera Pia 13
Genova, Italy, 16145
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Special Issue on Cloud Robotics and Automation

A special issue of the IEEE Transactions on Automation Science and Engineering.

Introduction

Cloud Robotics and Automation is attracting increased interest from academia, governments, and industry worldwide. General Electric’s “Industrial Internet” aims to create a “convergence of machine and intelligent data” across industries.  Germany’s “Industry 4.0” project and IBM’s “Smarter Planet” initiative are closely related. The “Internet of Things” project considers the potential where many passive physical objects such as boxes and pills have processors and/or unique RFID tags. The “RoboEarth” project is pioneering the idea of a World Wide Web for robots.


Scope, Description, and More Information

This Special Issue addresses the potential of the “Cloud” (Internet) to enhance automation and robotics for manufacturing, healthcare, transportation, logistics, security, agriculture, and many related industries by improving performance in at least five ways: 1) Big Data: indexing a global library of maps and object data; 2) Cloud Computing: parallel grid computing on demand for automation; 3) Open-Source/Open-Access: humans sharing code, data, algorithms and hardware designs; 4) System Learning: machines sharing parameters, control policies and outcomes; and 5) Crowdsourcing/call centers: offline and ondemand human guidance for evaluation, learning and error recovery.  

  • Scalable parallelization: How can parallel grid-based computing on demand change the current paradigm in automation science? How can parallelization schemes scale with the size of automation infrastructure?
  • Effective load balancing: Balancing operations between local and cloud computation. Where should we compute for sensing, planning and actuation?
  • Knowledge bases and representations: Reuse and interoperability of databases. How should online knowledge bases be shared and grow?
  • Collective learning: How can an automation infrastructure search for relevant data? How can robots share and learn from experienced outcomes?
  • Infrastructure/Platform or Software as a Service: To what extent can existing cloud technologies be adapted for automation and robotics? What algorithmic or technical advances are needed to allow systems to use the powerful computational, storage, and network infrastructure of data centers?
  • Internet of Things: What advances complement the IoT’s sensor technologies with a physical layer for actuation? As sensors are finding their way into more Fault diagnosis and prediction for the whole production lines Prognosis and heath management for the whole production line
  • Integrated and collaborative fault tolerant control
  • Big Data: Data, collected and/or disseminated over large, accessible networks can enable decisions for classification problems or reveal patterns.
  • Wireless communication, security and privacy issues: How can cloud-based automation be robust to latency, bandwidth limits, network failures and attacks?
  • System architectures: What architectures optimize trade-offs between content aggregation and caching vs. accessibility and scalability vs. response time for automation and robotics applications?
  • Open-source, open-access infrastructures: Algorithms and interfaces that introduce human feedback in automation through crowdsourcing. How can human guidance be used for evaluation, learning, and error recovery?

Important Dates

Call for Papers October 24, 2013
Deadline for Paper Submission March 20, 2014
First Review July 01, 2014
Final Review November 01, 2014
Publication April 2015


Guest Editors

Dr. Javier Civera

Lead Guest Editor
University of Zaragoza

javier-civera
Zaragoza, Spain
 +34 876 555554
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Dr. Matei Ciocarlie
Google Inc.

Guest Editor


California, United States

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Dr. Alper Aydemir
NASA/JPL

Guest Editor

Alper Aydemir's Picture
California, United States

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Dr. Kostas Bekris
Rutgers University

Guest Editor


New Jersey, United States

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Dr. Sanjay Sarma


MIT Guest Editor

Sanjay E. Sarma
Massachusetts, United States

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