IEEE Robotics and Automation Society IEEE

Special Issue on Home Automation: A Human-Centered Perspective

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 1 December 2014
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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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 Automation in Green Manufacturing

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

Introduction

There has been growing interest in green manufacturing worldwide, which has attracted substantial efforts from researchers in both academic and engineering communities. Green manufacturing deserves efficient production of green technology products, and energy efficient and environmentally friendly manufacturing process and system. To achieve this, automation is an essential component. In recent years, significant advancements in technology, the fast growing economy and rapidly changing market have generated numerous opportunities for innovation. At the same time, many new challenges have emerged in order to apply and implement these innovations. Such opportunities and challenges have substantially expanded the scope of automation. The goal of automation is to provide efficient scientific and engineering solutions for green manufacturing. The central theme of this Special Issue is emerging opportunities and future directions in automation for green manufacturing, where information technology based modeling, analysis, control and optimization are the focus areas. The purpose is to show the state-of-the-art research and applications in the general area of automation in green manufacturing, by bringing together researchers and practitioners from both academia and industry, to address the significant advancement, expose the unsolved challenges, present the needs for integration with new technologies, and provide visions for future research and development. This special issue aims to publish original, significant and visionary automation papers describing scientific methods and technologies with both solid theoretical development and practical importance. Submissions of scientific results from experts in academia and industry worldwide are strongly encouraged.

Scope, Description, and More Information

Topics to be covered include, but are not limited to the following topics in green manufacturing:

  • Design of equipment/robotics/processes for green tech products (solar panels, batteries, motors, wind turbines, fuel cell, etc.) manufacturing
  • Automatic control in green tech products manufacturing
  • Logistics, service and supply chain management of green tech products
  • Factory modeling, analysis & evaluation in green tech products manufacturing
  • Algorithms for planning, scheduling and coordination for green tech products manufacturing
  • Process control and yield enhancement for green tech products manufacturing
  • Mobile and wireless applications in green tech products manufacturing
  • Inventory management for green tech products manufacturing
  • Quality monitoring and control for green tech products manufacturing
  • Efficient energy saving and management systems in manufacturing
  • Emission/VOC reduction in manufacturing
  • Real-time control to reduce energy consumption in manufacturing
  • Automation and robotics for re-manufacturing
  • Inventory control and scheduling for re-manufacturing
  • Automation for waste management and recycling in manufacturing
  • Lifecycle evaluation automation in manufacturing
  • Planning and scheduling to optimize energy usage in manufacturing facilities
  • Predictive maintenance and service for green manufacturing
  • Manufacturing system design and operation for sustainability
  • Integrated modeling of energy and environmental factors with production performance

Important Dates

Call for Papers March 05, 2011
Deadline for Paper Submission August 01, 2011
First Review December 31, 2011
Final Review April 01, 2012
Publication January 2013

 

Guest Editors

Jingshan Li

General Motors Reseach & Development Center
Madison, WI, United States
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Masaru Nakano

Japan
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James Morrison

Yuseong-gu, Daejeon, Republic of Korea
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Stephan Biller

United States
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Tao Zhang

Tao Zhang

Spansion Inc. (Nasdaq: SPSN), Submicron Development Center
Sunnyvale, CA, United States
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Bengt Lennartson

Goteborg, Vastra Gotaland, Sweden
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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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 http://webdiis.unizar.es/~jcivera/index.html


 

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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Special Issue on Micro-Assembly for manufacturing at small scales

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

Introduction

Microelectronics brought an information revolution through integrating an incredible number of microscopic transistors on single chips. Since this first revolution, huge progresses have been made through the miniaturization and integration of mechanical and/or optical functions in addition to electrical ones. These products are now generally called MEMS or MOEMS (Micro-Opto-Electro-Mechanical-Systems). Accelerometers, inject printer heads, micro-mirrors, micro-relays, pressure sensors are the most known and widespread MEMS. Such products are fabricated using microfabrication processes based on successive and well mastered steps such as thin film deposition, patterning and etching of wafers. Nevertheless, a new generation of MEMS is definitely moving toward highly integrated, more complex and increasingly miniaturized products.

Due to the short life cycle of most new and high-tech products, they have to be produced in smaller and customized batches. Even though microfabrication technology has shown impressive progress during the last decade, where processes are much better known and lots of new materials have been introduced, many limitations remain and are extremely difficult to overcome, especially concerning processes and materials incompatibilities. For those two reasons, micro-assembly, i.e. the 3D integration of hybrid M(O)EMS components (from few µm to few hundreds of µm in size) together, is a natural and powerful approach to overcome those processes incompatibilities and to facilitate complex, heterogeneous, 3D, or out of plane integration. By using basic micro components, micro-assembly thus constitutes a new alternative of MEMS production that may lead to cost saving and shorter development cycle times.

Previous developments enabled lots of proof of concepts (actuators, sensors, gripping principles and tools, control, manipulation...). However, micro-assemblies performed automatically and/or with acceptable yields are, at the same time, extremely recent and challenging topics. It notably requires to simultaneously consider microfabrication tolerances (M(O)EMS components to assemble, handling tools…), robots uncertainties, sensors integration, reliable control, bonding and metrology aspects, where all of these aspects are specific at the microscale (lack of sensors and adapted gripping tools, small signal to noise ratio, use of non linear actuators, surface force predominance...).

Scope, Description, and More Information

Original and unpublished high-quality research results are solicited to explore and boost the new areas relevant to Assistive Robotics. Topics of interest include (but are not limited to):

  • Robotic Micro-Assembly
  • Self-Assembly Techniques
  • Hybrid Micro-Assembly
  • Force and/or Position (including vision) based Automated Micro-Assembly
  • Open-Loop Automated Micro-Assembly
  • Packaging of M(O)EMS
  • Novel Control Tools for Micro-Assembly Systems
  • Joining of Microscale Components
  • Assembled M(O)EMS Products
  • Microfactory
  • Calibration of Micro-Assembly Platforms Metrology for M(O)EMS Characterization
  • Sensor Fusion for Micro-Assembly

Important Dates

Call for Papers November 15, 2011
Deadline for Paper Submission June 15, 2012 (extended)
First Review July 15, 2012
Final Review October 15, 2012
Publication July 2013

 

Guest Editors

Karl Bohringer

Guest Editor

Karl Bohringer

University of Washington, Department of Electrical Engineering
USA Seattle (WA), United States

 +1 206 543 3842


 http://www.ee.washington.edu/faculty/karl/

Philippe Lutz

Guest Editor

Philippe Lutz

University of Franche Comte, Automatic Control and Micro-Mechatronic Systems Department
France France


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Dan Popa

Guest Editor

Dan Popa

University of Texas - Arlington, Department of Electrical Engineering
USA Arlington, TX, United States
 +1 817 272 5982
 +1 817 272 5952
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Quan Zhou

Guest Editor

Quan Zhou

Finland AALTO, Finland
 +358 9 470 25241

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Cédric Clévy

Guest Editor

Quan Zhou

Université of Franche-Comté
France France


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