We are pleased to invite you to submit your research to the upcoming special issue on "Humanoid robot applications in real world scenarios”, to be published in the IEEE Robotics and Automation Magazine.


Humanoid robotics is a key challenge due to the inherent complexity of locomotion, balancing and interaction with humans or unknown environments. Striving to overcome these difficulties, companies, international competitions and research projects have highlighted the potential of bipedal technologies and demonstrated how it is now approaching the level of maturity required for autonomous operation in unstructured environments.

An increasing number of companies and research institutes are now developing middle- and large-size humanoid robots for different purposes. International projects aim to use these bipeds as human coworkers for industrial manufacturing and warehouse tasks, or tele-operated for inspection and intervention in hazardous environments. These scenarios require advanced locomotion and interaction capabilities which are being addressed, not only with classical stiff position control, but also with advanced compliant torque/force control.

This special issue on humanoid robot applications in real world scenarios will make the research community aware of the latest and upcoming trends in this field, which is becoming increasingly appealing to industrial companies, including actors that were not previously involved in robotics.


The special issue will target papers in the following research areas:
- real applications and use case scenarios of humanoid bipedal robots
- humanoid hardware design for harsh environments
- whole-body multi-contact planning and control for real world applications
- loco-manipulation strategies in dynamic environments
- agile motion generation and control of humanoid robots
- performance benchmarking for bipedal robots
- success stories of humanoid technologies

Guest Editors will select those contributions that apply humanoid robotics technology with clear practical applications.


The deadline to submit a paper for the special issue are:
28 February 2019: submission deadline
1 May 2019: first decision communicated to authors
15 June 2019: revised paper submitted/start of the second round of review
20 August 2019: final acceptance decision communicated to authors
with the final publication in the IEEE Robotics and Automation Magazine December 2019 issue.


Detailed timeline and further information can be found at the special issue web page.

Submission guidelines can be found at information for authors web page.
We look forward your participation!


Enrico Mingo Hoffman, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy, enrico.mingo@iit.it
Nikos G. Tsagarakis, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy, nikos.tsagarakis@iit.it
Luis Sentis, University of Texas at Austin, Austin (TX), USA, lsentis@austin.utexas.edu
Francesco Ferro, PAL Robotics, Barcelona, Spain, francesco.ferro@pal-robotics.com
Stéphane Caron, CNRS-UM LIRMM, Montpellier, France, stephane.caron@lirmm.fr

Help us collect gender data for IEEE RAS sponsored conferences! In an effort to create best practices for conference organization, we are collecting historic data on past events. 

For each conference\year you are willing to complete:

  1. Select a conference and year by putting your name in an empty space in Column A OR Column B in: https://docs.google.com/spreadsheets/d/1v4jLSnfiAoB2B6QhkxwCWT4NGk4kHc0NmkUTg17T7RI/edit?usp=sharing
  2. Fill out a form available at https://goo.gl/forms/uZCBtjDKXfyLwj9d2
Many thanks!
RAS WIE Committee

IEEE-RAS Spring School on "Social and Artificial Intelligence for User-Friendly Robots" SoAIR2019
17-24 March 2019, Shonan Village, Japan
Application Deadline: 20 December 2018

Aim and Scope

Autonomous and intelligent systems are progressively moving into spaces, which have previously been predominantly shaped by human agency. Unlike in the past where machines obediently served their human operators, machines now increasingly act without the intervention of a human. Artificial intelligence is meeting new challenges in the world, though human-like intelligence may still be a distant goal. Robots in factories are coming out of their cages. Autonomous cars are being tested on streets with regular human-driven cars. The private household is changing with the appearance of not only robotic vacuum cleaners, but also with the first-generation of social robots and smart devices. The challenges that face both the robotics and artificial intelligence communities are how the necessary intelligence for such new environments can be created as well as how to make artificial agents capable of not only solving tasks at hand but also considering social environments around them during interaction with human users so as to behave appropriately. Within the school, we plan to address the tension created by the balance between task-specific artificial intelligence and the demands of sociability required to function effectively in human-centered environments.

** This spring school is a Technical Education Program (TEP) endorsed and supported by IEEE-RAS.

** The school aims at bridging the gap between social and cognitive Human-Robot Interaction (HRI), Artificial Intelligence (AI), and their applications in social robotics and Autonomous Vehicles (AV) through high level talks and hands-on workshops (the program will be announced soon).

Keynote Speakers
(More Speakers in HRI, AI, and Autonomous Vehicles will join the list soon)

Jun Tani – Okinawa Institute of Science and Technology (OIST), Japan
Daniele Magazzeni – King's College London, UK
Yukie Nagai – National Institute of Information and Communications Technology (NICT), Japan
Tetsuya Ogata – Waseda University, Japan
Maya Cakmak – University of Washington, USA
Mohamed Chetouani – University of Pierre and Marie Curie (UPMC), France
Agnieszka Wykowska – Italian Institute of Technology (IIT), Italy
Tetsunari Inamura – National Institute of Informatics (NII), Japan
Amit Kumar Pandey – SoftBank (Aldebaran) Robotics, France
Francesco Maurelli – Jacobs University, Germany (A special talk about preparing funding proposals)

Application Submission

The applications must include the following files (combined into one file). No other documents would be necessary (More information is available on the school's webpage).
1. Curriculum vitae: A two pages or less of CV detailing relevant aspects of the candidate's academic career that demonstrates her/his relevance to the school theme.
2. Research abstract: A 200 word research abstract that the candidate intends to present during the school.
3. Letter of recommendation: A short letter from the academic advisor or the employer of the candidate supporting her/his application.

Please use the following EasyChair web link:  Application Submission.

Important Dates

Application submission: 20-December 2018
Notification of acceptance: 28-December 2018
Spring School: 17-24 March 2019


Amir Aly – Ritsumeikan University – Japan
Franziska Kirstein – Blue Ocean Robotics, Denmark
Shashank Pathak – Visteon Corporation, Germany

The 13th IEEE International Conference on Automation Science and Engineering (IEEE CASE 2017), sponsored by the IEEE Robotics and Automation Society (RAS), was held in Xi’an, China, 20-23 August 2017. IEEE CASE is a flagship automation conference of the IEEE RAS and constitutes the primary forum for cross-industry and multi-disciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.

Authors of papers included in the proceedings of CASE2017 are kindly invited to submit a journal version of their contributions to this special issue, which will undergo a full review process.

The central theme of CASE 2017 and of this special issue is Automation for Next Industry Revolution. The advances in information science and technology such as Internet Plus allow us to make many industrial systems smarter and more creative particularly: Smart Manufacturing Systems, Smart Buildings, Smart Cities, Smart Transportation Systems, Smart Energy Systems, etc.

Scope, Description, and More Information

This special issue aims to publish original, significant and visionary automation papers describing scientific methods and technologies that improve efficiency, productivity, quality and flexibility for automation for the next industry revolution, with both solid theoretical development and practical importance.

This special issue only accepts submissions made by previous authors of papers included in the proceedings of CASE2017. A small number of such papers – those containing significant scientific results as recognized by CASE2017 reviewers’ comments – will be accepted to submit a journal version to this special issue. Authors are kindly requested to expand significantly the conference version to contain substantial new technical materials due to the restriction in duplicated publications and the competitive acceptance (usually more than 30% of the results are new in the journal paper).

  • Topics to be covered include, but are not limited to the following topics:
  • Future Manufacturing Systems: reconfigurable manufacturing systems, industrial robotics, coordination and scheduling, and CPS and industrial Internet
  • Foundation of Automation: discrete event systems, hybrid systems, fault analysis and recovery, system modeling and simulation, and monitoring and control
  • Life Sciences and Healthcare: lab automation, automation in treatment diagnosis and disease, hospital and medical robotics, and healthcare management systems
  • Automation in Meso, Micro, and Nano-scale: cluster tool scheduling, fab modeling and analysis, metrology, and nano-manufacturing
  • Big Data for Automation: web, data, and text mining, web services and service oriented architectures, machine learning, software engineering in automation, and workflow management systems
  • Automation in Logistics and Supply Chain Management: material handling and assembly, IT-enabled planning, coordination, and scheduling, resource allocation and management, and automation in remanufacturing and reverse logistics
  • Networked and Control Systems: distributed control systems, multiagent planning and control, sensor/actuator networks, and wireless communication and control
  • Cyber Physical Energy Systems: smart buildings, intelligent transportation systems, smart cities, and micro and smart grids

Important Dates

30 November 2018 - paper submission deadline
15 March 2019 - completion of the first review round
15 April 2019 - second round/final submission deadline
30 July 2019 - completion of the second review round, and final publication decision

Submission Information

All papers are to be submitted through the IEEE’s Manuscript Central for Transactions on Automation Science and Engineering (http://mc.manuscriptcentral.com/t-ase). Please select “Special Issue” under Manuscript Category of your submission. All manuscripts must be prepared according to the IEEE Transactions on Automation Science and Engineering publication guidelines (http://www.ieee-ras.org/publications/t-ase).

Prospective authors are encouraged to email to one of the guest editors abstracts of possible contributions including a cover letter with authors’ contact information.

Lead Editor

Spyros Reveliotis portrait
Spyros Reveliotis
Lead- Special Issue Automation for Next Industry Revolution
Georgia Institute of Technology
Atlanta (GA), USA

Guest Editors


Mariagrazia Dotoli portrait
Mariagrazia Dotoli
Special Issue Automation for Next Industry Revolution
Politecnico di Bari
Bari, Italy
Qing-Shan (Samuel) Jia portrait
Qing-Shan (Samuel) Jia
Special Issue Automation for Next Industry Revolution
Tsinghua University, Department of Automation
Beijing, China

Special Issue "Continual Unsupervised Sensorimotor Learning" invites research articles.


Although machine learning algorithms continue to improve at a rapid pace enabling technologies and products such as autonomous driving cars and sophisticated image and speech recognition, it is often forgotten that these applications represent tailored solutions to specific tasks. Thus it is not clear if or how these autonomous systems can pave the road to general purpose machines envisioned by many.
The pursuit for higher levels of autonomy and versatility in robotics is arguably lead by two main factors. Firstly, as we push robots out of the labs and productions lines, it becomes increasingly difficult to design for all possible scenarios that a particular robot might encounter. Secondly, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive. 
As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance in order to get more autonomous artificial systems. These challenges include multi-task learning, multimodal sensorimotor learning and lifelong adaptation to injury, growth and ageing. Addressing these challenges promise higher levels of autonomy and versatility of future robots. This special issue on Continual Unsupervised Sensorimotor Learning is primarily concerned with the developmental processes involved in unsupervised sensorimotor learning in a life-long perspective, and in particular the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation.
The special issue will highlight behavioural and neural data, and cognitive and developmental approaches to research in the areas of robotics, computer science, psychology, neuroscience, etc. Contributions might focus on mathematical and computational models to improve robot performance and/or attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. Contributions from multiple disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology, on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are welcome.


This special issue aims to report state-of-the-art approaches and recent advances on Continual Unsupervised Sensorimotor Learning with a cross-disciplinary perspective. Topics relevant to this special issue include but are not limited to:

  • Emergence of representations via continual interaction
  • Continual sensory-motor learning
  • Action-perception cycle
  • Active perception
  • Environmental-driven scaffolding
  • Intrinsic motivation
  • Neural substrates, neural circuits and neural plasticity
  • Human and animal behaviour experiments and models
  • Reinforcement learning and deep reinforcement learning for life-long learning
  • Multisensory robot learning
  • Multimodal sensorimotor learning
  • Affordance learning
  • Prediction learning


Manuscripts should be prepared according to the Information for Authors of the journal found here:

Submissions must be done through the IEEE TCDS Manuscript center:
During the submission process, please select the category SI: Continual Unsupervised Sensorimotor Learning.


6 January 2019: Paper submission deadline
15 March 2019: Notification for authors
31 May 2019: Deadline revised papers submission
30 June 2019: Final notification for authors
31 July 2019: Deadline for camera-ready versions
September 2019: Expected publication date

More information on Continual Unsupervised Sensorimotor Learning:


Nicolás Navarro-Gerrero
Aarhus University, Aarhus, Denmark nng@eng.au.dk
Sao Mai Nguyen
IMT Atlantique, Francenguyensmai@gmail.com
Erhan Öztop
Özyeğin University, Turkeyerhan.oztop@ozyegin.edu.tr
Junpei Zhong
National Institute of Advanced Industrial Science and Technology (AIST), Japanjoni.zhong@aist.go.jp

Conor Walsh, 2017 Early Academic Career Award in Robotics and Automation recipient, and his Harvard team are advancing soft, wearable robots with embedded sensors for hand and arm rehabilitation.

With support from the National Science Foundation (NSF), Walsh and team are developing lightweight, soft, wearable robots that people can wear all day, every day, to help them regain use of their upper extremities. Walsh wants to shift the paradigm of rehabilitation from one where the therapist manipulates the fingers and thumb through some range of motion to one where a soft robotic glove can help the patient do the work themselves.

Read more and view the National Science Foundation video here: https://youtu.be/zgQFRJK3IK0

Announcing a New Website that showcases 200 robots from around the world to inform and excite the public about the possibilities of robotics.

robots 24grid small

Earlier this month, IEEE launched Robots.ieee.org, an interactive guide to the amazing world of robotics. The goal is showing the public, especially young people and kids, how real-world robots work and how they can have a positive impact on society. In addition to providing some funding for this project, RAS has established a Steering Committee to advise on content and direction. 

The site currently features 200 robots from 19 countries, with 360-degree views, interactive animations, and thousands of photos, videos, and technical specs for each robot. The catalog will keep expanding with new types of robots from different locations around the world.

The project is an expansion on IEEE's Robots iPad app, which has been downloaded 1.3 million times and is used in STEM programs globally. The new site aims to reach an even broader audience and become a powerful tool for STEM education as well as a valuable resource for roboticists in industry, research, and startups.

Experience the Robots website Now!  https://robots.ieee.org/



Special Issue on Enabling Knowledge Based Smart Manufacturing Systems

Smart manufacturing is targeted as the next generation of manufacturing by many national and international strategic development. The increasingly rich production data, the integration and extensive application of information technology, and the intelligent data processing and system modeling methods have collectively enabled smart manufacturing. Building upon them, manufacturing system modeling, knowledge acquisition, design and real-time control are the key components.

The central theme of the Special Issue will be emerging opportunities and future directions in enabling knowledge based smart manufacturing systems. This special issue will focus on how the promise of smart manufacturing could be fulfilled by providing knowledge either from models before operations and/or from data during operations of manufacturing systems. The goals of the special issue are (1) to present the state-of-the-art research in science, engineering and methodologies for knowledge based automated manufacturing systems, and (2) to provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.

Topics to be covered include, but are not limited to:

  • Flexible, agile and customized manufacturing systems based on knowledge and learning techniques
  • Knowledge based software for smart manufacturing systems
  • Human-machine interaction for manufacturing automation
  • Architectures and paradigms for smart manufacturing systems
  • Design optimization for smart manufacturing systems
  • Methods and principles for manufacturing knowledge acquisition during runtime
  • Evolution of manufacturing knowledge basis for system redesign and optimization
  • Performance evaluation, improvement and real-time control and scheduling of manufacturing systems
  • Applications and case studies including industrial use cases

Important Dates

15 February 2019: paper submission deadline (Extended: 31 March 2019)
1 May 2019: completion of the first round review
1 September 2019: completion of the second round review
1 November 2019: final submission due
1 January 2020: tentative publication date

Guest Editors

Birgit Vogel-Heuser, Technical University of Munich, Germany, vogel-heuser@tum.de
Feng Ju, Arizona State University, USA, fengju@asu.edu
Yan Lu, National Institute of Standards and Technology, USA, yan.lu@nist.gov
Cesare Fantuzzi, University of Modena and Reggio Emilia, Italy, cesare.fantuzzi@unimore.it
Dieter Hess, 3S-Smart Solution GmbH, Germany, d.hess@codesys.com

For more information see: http://www.ieee-ras.org/publications/t-ase

Congratulations and welcome to the following newly organized IEEE Robotics and Automation Society Chapters:

Region 5


  • IEEE Metropolitan Los Angeles Section Systems, Man, and Cybernetics and Robotics and Automation Joint Societies Chapter
  • University of Houston Robotics and Automation Society Student Branch Chapter in the Houston Section

Region 8


  • Norway Section Computer, Robotics and Automation and Information Theory Joint Societies Chapter

Region 9


  • Universidad Tecnológica Nacional Facultad Regional Buenos Aires (UTN-FRBA) Robotics and Automation Society Student Branch Chapter in the Argentina Section


  • Instituto Federal de Brasilia (IFB) Robotics and Automation Society Student Branch Chapter in the Centro-Norte Brasil Section
  • Universidade Estadual de Feira de Santana Robotics and Automation Society Student Branch Chapter in the Bahia Section
  • Universidade Federal da Paraíba Robotics and Automation Society Student Branch Chapter in the Bahia Section

Region 10


  • IEEE Nanjing Section Robotics and Automation Society Chapter


  • Indian Institute of Technology-Mandi Robotics and Automation Society Student Branch Chapter in the Delhi Section
  • PES Institute of Technology-Bangalore Robotics and Automation Society/Sensors Council Student Branch Chapter in the Bangalore Section
  • Rajiv Gandhi Institute of Technology Robotics and Automation Society Student Branch Chapter in the Kerala Section
  • S A Engineering College Robotics and Automation Society Student Branch Chapter in the Madras Section


  • Institute of Industrial Electronics Engineering Robotics and Automation Society Student Branch Chapter in the Karachi Section

Congratulations to the IEEE Robotics and Automation Society members recently elevated to Senior Member status by the IEEE Admission and Advancement (A&A) Senior Member Review Panel.

To be eligible for application or nomination, candidates must:

  • Be engineers, scientists, educators, technical executives, or originators in IEEE-designated fields
  • Have experience reflecting professional maturity
  • Have been in professional practice for at least ten years (with some credit for certain degrees)
  • Show significant performance over a period of at least five of their years in professional practice

Nominees for IEEE Fellow must hold the grade of Senior Member or Life Senior Member in order to qualify for elevation to Fellow status.

Ruhizan Liza Ahmad Shauri
Malaysia Section
Universiti Teknologi MARA

Mohammad Al-Abed
Jordan Section
Hashemite University

Essa Al-Suwaidi
United Arab Emirates Section

Jacopo Aleotti
Italy Section
University of Parma

Rafael Aroca
South Brazil Section
Universidade Federal de São Carlos

Shaoping Bai
Denmark Section
Aalborg University

Richard Bearee
France Section
École Nationale Supérieure d’Arts et Métiers (ENSAM)

Nicola Bellotto
United Kingdom and Ireland Section 
University of Lincoln  

Janos Botzheim
Hungary Section
Budapest University of Technology and Economics

Darwin Caldwell
United Kingdom and Ireland Section
The University of Sheffield

Craig Carignan
Washington Section
University of Maryland

Marco Carricato
Italy Section
Università di Bologna 

Han-Lim Choi
Daejeon Section
Korea Advanced Institute of Science and Technology

Eftychios Christoforou
Cyprus Section
University of Cyprus

Matthew Clavelli
Northwest Subsection
Northwestern University

Ashwin Dani
Connecticut Section
University of Connecticut

Reinaldo de Bernardi
South Brazil Section
University of São Paulo

Domenico Formica
Italy Section
Università Campus Bio-Medico di Roma

Paolo Frasca
France Section
The National Center for Scientific Research (CNRS)

Luigi Freda
Italy Section
Inglobe Technologies 

Ibrahim Fahad Jasim Ghalyan
Benelux Section
New York University

Olaf Haenssler
Germany Section
University of Oldenburg

Tamas Haidegger
Hungary Section
Óbuda University

Lafifa Jamal
Bangladesh Section
University of Dhaka

Gene Kern
Pittsburgh Section
Oxford Solutions, Inc

Lindsay Kleeman
Victorian Section
Monash University
Katherine Kuchenbecker
Germany Section
Max Planck Institute for Intelligent Systems

Alessandro Liani
Italy Section

Guangcan Liu
Nanjing Section
Nanjing University of Information Science & Technology

Weifeng Liu
Norway Section
Norwegian University of Science and Technology
Henry Medeiros
Milwaukee Section
Marquette University
Juan Moreno
Spain Section
Cajal Institute, Spanish National Research Council (CSIC)
Charles Phiri
United Kingdom and Ireland Section
University of Portsmouth
Mohammad Rahman
Milwaukee Section
University of Wisconsin-Milwaukee
Juan Ernesto Rodriguez
Coastal South Carolina Section
CMD Engineering
Juan Rojas
Guangzhou Section
Guangdong University of Technology
Dr. Daher Sayfeddine
Oman Section
Khatib & Alami
Faibish Sorin
Boston Section
Fast Data Group at EMC
Gabor Sziebig
Norway Section
UiT The Arctic University of Norway
Renaldas Urniezius
Lithuania Section
Kaunas University of Technology
Richard Vaughan
Vancouver Section
Simon Fraser University
Zhidong Wang
Tokyo Section
Chiba Institute of Technology
Hui Xie
Harbin Section
Ningbo Ningbo Institute of Materials Technology & Engineering
Haibin Yu
Harbin Section
Shenyang Institute of Automation (SIA)


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