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Recognizing the achievements of its members is an important part of the mission of IEEE. Each year, following a rigorous evaluation procedure, the IEEE Board of Directors selects a group of members for elevation to IEEE Fellow. The IEEE Fellow is the highest grade of membership in IEEE. Less than 0.1% of voting members are selected annually for this member grade elevation. It is recognized by the technical community as a prestigious honor and an important career achievement.

The following RAS members have been elevated to IEEE Fellow, effective 1 January 2023.

Aaron M. Dollar - Yale University, New Haven, (CT) USA

for contributions to dexterous grasping and manipulation

Dario Floreano - Swiss Federal Institute of Technology, Lausanne, Switzerland

for contributions to bio-inspired drone development and evolutionary robotics

Antonio Franchi - University of Twente, Enschede, Netherlands

for contributions to modelling, design, and control for aerial and distributed robotic systems

Kensuke Harada - Osaka University, Toyonaka, Japan

for contributions to whole-body manipulation for biped humanoid robots

Alois C. Knoll - Institut Fuer Informatik VI, Garching, Germany

for contributions to Human-Robot Interaction and Neurorobotics

Jana Kosecka - George Mason, University Annandale, (VA) USA

for contributions to robust embodied vision systems and semantic modeling in robotics

Torsten Kroeger – Intrinsic, Menlo Park, (CA) USA

for contributions to real-time motion planning

Cecilia Laschi - National University of Singapore

for contributions to soft robotics

Karon Maclean

University of British Columbia, Vancouver, (BC) Canada

for contributions to the design of haptic communication

Arianna Menciassi - Scuola Superiore Sant'Anna, Pontedera, Italy

for contributions to the development of robots for minimally invasive surgery

Kazuhiro Nakadai - Tokyo Institute of Technology, Japan

for contributions to robot audition and computational auditory scene analysis

Christian Ott - German Aerospace Center, Wessling, Germany

for contributions to torque-control theory using passive joint elasticity and the whole-body control of humanoids

Jose A. Santos-Victor - Instituto Superior Tecnico, Lisbon, Portugal

for contributions to biologically inspired cognitive vision and humanoid robotic systems

Birgit Vogel-Heuser - Technische Universitaet Muenchen, Garching, Germany

for contributions to evolvable, adaptable field-level automation architectures for manufacturing systems and logistics

YuMingZhang - University of Kentucky, Lexington, (KY) USA

for contributions to robotized welding manufacturing through machine-vision-based intelligence

Li Zhang - The Chinese University of Hong Kong, Shatin Hong

for contributions to micro-/nanorobot swarms and platforms for translational biomedicine

2023 RAS Fellows Evaluated by Other IEEE Societies

Evaluated by the Computational Intelligence Society

Hong Wang - Oak Ridge National Laboratory, Farragut, (TN) USA

for contributions to learning control and diagnosis for complex dynamical systems

Evaluated by the Computer Society

Hong Chen - Tongji University, Shanghai, China

for contributions to predictive control and applications in automotive systems

Evaluated by the Computer Society

Dimos Dimarogonas - KTH Royal Institute of Technology, Stockholm, Sweden

for contributions to distributed and hybrid control of multi-agent systems

Evaluated by the Computer Society

Kingsley Fregene - Grand Prairie, (TX) USA

for contributions to the autonomous control of unmanned vehicles

Evaluated by the Computer Society

Abdelhamid Tayebi - Lakehead University, Thunder Bay, Canada

for contributions to the control of unmanned aerial vehicles and learning-based control for robot manipulators

Evaluated by the Engineering in Medicine and Biology Society

He Huang - North Carolina State University, Raleigh, (NC) USA

for contributions in control development in rehabilitation robotics

Evaluated by the Industrial Electronics Society

Youmin Zhang - Concordia University, Montreal, Canada

for contributions to fault diagnosis and fault-tolerant control systems

Evaluated by the Systems, Man, and Cybernetics Society

Daoyi Dong - Australian Defence Force Academy, Canberra, Australia

for contributions to quantum systems control and reinforcement learning

Evaluated by the Signal Processing Society

Alfred Bruckstein - Technion International, Haifa, Israel

for contributions to signal representation and swarm robotics

More About IEEE Fellows

IEEE Fellow is a distinction reserved for select IEEE members. The honor is conferred by the Board of Directors upon a person with an extraordinary record of accomplishments in any of the IEEE fields of interest.

If you know of an IEEE colleague who is a Senior Member or Life Senior Member in good standing, has completed five years of service in any grade of IEEE Membership, and has made an outstanding contribution to the electronic or electrical engineering profession, you can nominate this person in one of four categories:

  • Application Engineer/Practitioner
  • Educator
  • Research Engineer/Scientist
  • Technical Leader

Additional information about the IEEE Fellow program, and a list of RAS Fellows is available here.

We are pleased to announce that a new issue of IEEE Robotics and Automation Letters (Volume 8, Issue 1, January 2023) is now available on IEEE Xplore. Check it out!

Vote today for the IEEE RAS AdCom election so we can increase last year’s percentage rate of 13.8%. Your vote counts! 

VOTE NOW at https://eballot.app/ieee

You will need your IEEE Account username/password to access the ballot. For quick reference, your username is your email address. If you do not remember your password, you may retrieve it on the voter login page.

Important Access Information

Please make sure you are signed out of all other applications in your browser before attempting to log into the voting site. If you are having trouble accessing the site, it could be because you are not signed in to your IEEE Account; we recommend that you copy the link and paste into (1) a private browsing window if using Firefox or (2) an incognito window if using Chrome, and then log in with your IEEE Account information.

Voting must be completed no later than 20 December 2022. Any returns received after this date will not be counted. The online voting site will close at 4:00 pm Eastern Time.

If you have any questions about the IEEE Robotics and Automation Society voting process, please contact ieee-rasvote@ieee.org or +1 732 562 3904.

Thank you for your participation in this election.

Haptic sensations are a fundamental component of the user’s immersive experience when interacting in Virtual/Augmented/Mixed/eXtended Realities (VR/AR/MR/XR). In the last few years, we have witnessed the rapid development of many innovative devices and original techniques for providing haptic sensations, e.g., using force feedback, mid-air interfaces, props, or exploiting perceptual phenomena with cross-modal effects such as pseudo-haptics. While increasingly immersive and realistic experiences have developed at a fast pace, the emergence of a metaverse proposes new use cases where prolonged utilisation and social interactions become more frequent and effective than reality. This change in direction presents the haptics community with new challenges and opportunities. To that end, the goal of this Special Issue is to present innovative cutaneous and tactile technologies as well as their use towards the metaverse vision.

Key Dates and Deadlines

  • Submission deadline: 31 January 2023
  • First decision sent to authors: approximately 3 months after submission
  • Final decision sent to authors: approximately 6 months after submission
  • Final publication material due from authors: approximately 7 months after submission

See here for more details.

We are proud to announce the IEEE International Conference on Automation Science and Engineering (CASE) to be held in Auckland, New Zealand on 26–29 August 2023. CASE is the flagship automation conference of the IEEE Robotics and Automation Society (RAS) and constitutes the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide broad coverage and dissemination of foundational research in automation among researchers and practitioners.

The theme of CASE 2023 is Automation for a Resilient Society. For more information, please check out our flyer or visit our conference website.

Key Dates and Deadlines

  • Special session proposal submissions due 15 February 2023
  • Regular and special session full paper submissions due 1 March 2023
  • Workshop proposal submissions, industry paper submissions, and presentation-only paper submissions due 1 April 2023
  • Paper acceptance notification 15 May 2023
  • Final paper submission due 15 June 2023
  • Author registration due 15 June 2023
  • Conference held from 26–29 August 2023

Motivation

Safety-critical tasks are very common in real-life robotic applications. Tasks are considered safety-critical when, for example, robots act in close proximity to humans, especially when they have limited knowledge about the environment.

The proposed SI hinges on contributions that advance the field of learning for robust and safe control. Our interest encompasses both theoretical and empirical results which aim to show that combining machine learning strategies with model-based controllers is the key to developing stable and robust autonomous systems that are capable of adapting to dynamic environmental changes, are resilient to external disturbances, and unmodelled dynamic effects, and that behave in accordance to the theoretical guarantees of controllers.

See our website for more information.

 

Key Dates and Deadlines

  • Submission deadline: March 31, 2023
  • Final Publication: September 27, 2023

Motivation

Physical Human-Robot Interaction (pHRI) is of great interest in robotics. Currently, we have good working knowledge about our engineered robots, but we still lack a deeper understanding about human behavior, and how to effectively use it for real-time reactive robot behavior in the context of pHRI. This understanding is crucial to evolve the pHRI paradigms into safer and more effective human-robot interactions. Therefore, progress and innovations in human modelling are necessary to significantly improve how human operators physically collaborate with Cobots, prostheses, exoskeletons, and other robotic devices.

This special issue aims to stimulate discussion and promote collaboration between the communities of robotics and biomechanics. Contributing authors will investigate the state of the art of human modelling and present modern human modelling techniques and tools to advance research in pHRI. The latest high-quality research results from both biomechanists and roboticists will be collected and presented.

Please see our website for more details.

Key Dates and Deadlines

  • Submission deadline: February 1, 2023
  • Final Publication: August 9, 2023

The IEEE Robotics and Automation Society is most pleased to announce that Carlotta Berry has been selected as the recipient of the prestigious 2023 Undergraduate Teaching Award “for contributions to multidisciplinary robotics education and leadership in creating a national platform to diversify STEM.”

 

undergrad berry 2

Carlotta Berry has a passion for increasing diversity in engineering. She is utilizing robotics and engineering education, as well as human-robot interaction research to bring STEM to diverse populations. She has built several organizations that reach out to women and marginalized and minoritized populations and encourage them to pursue STEM degrees. She founded the Rose Building Undergraduate Diversity (ROSE-BUD) program to increase the participation of underprivileged and underrepresented students in electrical and computer engineering. Berry worked with colleagues worldwide to start the nonprofits Black in Engineering and Black in Robotics that build community and advocate for diversity, equity, inclusion, and justice.

 

An IEEE Senior Member, Berry is the Rose Hulman Institute of Technology Lawrence J. Giacoletto Endowed Chair and professor for Electrical and Computer Engineering, Indiana, USA.

 

More About the IEEE Undergraduate Teaching Award

 

img tfa medal undergraduate teachingSponsored by the IEEE Education Society, the IEEE Undergraduate Teaching Award was established by the Board of Directors in 1990 to honor teachers of electrical and electronics engineering and the related disciplines. The award consists of a bronze medal, certificate, and cash honorarium. In the evaluation process, the following criteria are considered: excellence in teaching undergraduate students; creative development of the undergraduate curriculum; authorship of course materials for undergraduate students; involvement with undergraduate students through activities such as advising, project supervision, faculty counseling or advising for student organizations; attracting students to engineering and scientific profession; and the quality of the nomination.

A list of past recipients can be found here.

2022 WIR HEADER 1536x864

The 2022 edition of Robohub’s annual "50 women in robotics you need to know about" has honored six members of the IEEE Robotics and Automation Society, from all three RAS geographical regions!

 

Congratulations to Women in Robotics for the 10th anniversary of this important recognition for the many amazing women in robotics.

The following IEEE Robotics and Automation Society women are included in this year's list:

 

  1. Kathy Colabaugh, IEEE Robotics and Automation Society, USA
  2. Jeanne Dietsch, Granite State Matters, USA
  3. Xiaoou Li, Center for Research and Advanced Studies of the National Polytechnic Institute of Mexico, Mexico
  4. Pauline Pounds, University of Queensland, Australia
  5. Karinne Ramirez-Amaro, Chalmers University of Technology, Sweden
  6. Teresa Vidal Calleja, University of Technology Sydney, Australia

 

Check out the full article to read more about all these impressive women.

We cordially invite you to submit contributions to the fourth edition of the focused section on T-MECH/AIM emerging topics. This focused section is intended to expedite publication of novel and significant research results, technology, and/or conceptual breakthroughs on emerging topics within the scope of T-MECH; our aim is to provide the mechatronics community with rapid access to state-of-the-art T-MECH publications.

The submission site is now open; the deadline for submissions is 6 January 2023.

For more details, click on the links above and check out our flyer.

We are pleased to invite you to participate in the mc_rtc tutorial organized at the IEEE/RAS Humanoids 2022 conference.

mc_rtc is an open-source application framework for robotics developed jointly by the CNRS-AIST Joint Robotics Laboratory (JRL) in Japan and the CNRS-UM Interactive Digital Human (IDH) in France. It has been used extensively over the past few years and has allowed for the efficient realization of many complex demonstrators:

  • Industrial applications of humanoid robots (e.g., COMANOID)
  • Humanoids car driving (e.g., the DARPA Robotics Challenge)
  • Human-Robot interaction on the Pepper platform (SOFTBANK Robotics)
  • Embodiment for service robotics (Avatar X-Prize)
  • and many others that will be showcased using simpler robotic arms

mc_rtc is now used in many teams across the world and has been deployed on many humanoid platforms—HRP robots, Nao, Pepper, REEM-C and Talos—as well as on non-humanoid robots such as Panda, Kuka or UR robots.

With the release of the 2.0 version, the framework is now more extendable than ever to conduct your own robotics research with the tools provided by the framework.

In this tutorial, we will introduce the capabilities of the framework through the implementation of an example scenario that requires the combination of visual-servoing, force sensing, and walking. The scenario is representative of the complexity of programming humanoid robots and will highlight the power of mc_rtc in easing this process.

The tutorial will be held on 28 November 2022 9am­–5pm Japan time (GMT+9) in room B3 at the Okinawa Convention Center. See the Humanoids 2022 website for more information.

 

Online Attendance

Online attendance is possible. Please contact pierre.gergondet@gmail.com and we will send you a tele-conference invitation before the tutorial.

Click here to learn more about the tutorial; to learn more about mc_rtc, click here. We look forward to seeing you there in person or online.

Agricultural production is a key economic activity providing a growing world population with resources like food, fibers, fuels, and chemical basic components. Despite a growing world population, labour participation in agricultural production is declining and technology is needed to support farmers in their work. Technologies like sensing, data, artificial intelligence, and robotics will become more and more important. This special issue addresses technological progress in robotics and intelligent machine systems for smart agricultural production. Papers could address any part of the agricultural value chain including plant and animal breeding, through on-farm production, to post-harvest storage, logistics, packaging, and food processing. Besides on-farm food, feed and fiber production, off-farm production can be considered like fishery, forestry and urban landscaping and maintenance.

 

More information can be found here.

 

Deadline for submission:  February 1, 2023

Special issue publication date: December 2023

Rus made the design of distributed noisy networked robot systems more efficient, an essential step in the controllability of fleets of autonomous vehicles.

The IEEE Robotics and Automation Society is most pleased to announce that Daniela Rus has been selected as the recipient of the prestigious 2023 IEEE Robotics and Automation Award. Professor Rus was selected “for pioneering contributions to the design, realization, and theoretical foundations of innovative distributed, networked autonomous systems.” Pro­fessor Rus will receive the award at the 2023 International Conference on Robotics and Automation (ICRA), which will be held in London, UK from 29 May–2 June 2023.

Rus

Daniela Rus has made fundamental contributions to the science and engineering of autonomy, with a special focus on robotic interactions. Her work is enabling a future in which ma­chines are pervasively integrated into the fabric of life. She has significantly advanced the ability of machines to reason, learn, and adapt to complex tasks in human-centered environ­ments. The applications of her work include transportation, man­ufactur­ing, agriculture, underwater explora­tion, smart cities, and in-home tasks like cooking. Her recent work focused on computational design and fabrica­tion of robots, as well as safe learn­ing-based control for adaptation to changing conditions place her at the leading edge of her field.

An IEEE Fellow, Rus is the Andrew and Erna Viterbi Professor and director of CSAIL, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

About the IEEE Robotics and Automation Technical Field Award

The IEEE Robotics and Automation Technical Field Award (TFA) was established in 2002 by the IEEE Board of Directors. This TFA is presented for contributions in the field of robotics and automation; it is sponsored by the IEEE Robotics and Automation Society.

More information and a list of past recipients can be found here.

Compliant Mechanisms (CMs), along with Soft Robotic devices formed therewith, may be defined as engineering systems achieving force and motion transmission via the deflection of flexible members. CMs have increasingly gained a strong foothold in the scientific arena owing to their hinge-less nature, shock resistance, potential single-piece manufacturability, safety in human-machine interaction, minimal maintenance requirements, and adaptability to work in unstructured environments. In parallel, current advances in the production of inherently compliant sensory-motor apparatus, as well as progress in the development of robust control methods, are paving the way to practical CM adoption in a large variety of engineering fields, including healthcare, manufacturing, inspection/maintenance, and agrifood. However, by embracing large deflections as a requirement rather than a design flaw, the conception and the subsequent physical prototyping of optimal CMs requires: i) material models capable of dealing with finite deformations, time-dependent phenomena, and uncertain constitutive parameters; ii) design tools allowing to simulate the behaviour of highly deformable structures; iii) reliable, possibly affordable, manufacturing methods; iv) more powerful adaptive learning and control techniques. Within this scenario, this focused section aims at providing an opportunity for material scientists, robotic/control engineers, and practitioners from academia or industry to present the latest theoretical and technological achievements in Complaint Mechanisms for Mechatronics. Focus shall be placed on transdisciplinary methodological frameworks, hardware development for real-world applications and out-of-lab experiments. Papers presenting newly emerging fields (such as robotic programmable materials) are also especially welcome.

Important Dates

  • 1 March 2023 - Submission deadline
  • December 2023 – Publication

More details available here: http://www.ieee-asme-mechatronics.info/focus-sections/

Dear female roboticists worldwide:

We are delighted to announce that applications for the Dr. Kanako Miura Award for Humanoids 2022 are now open. 

What is the Kanako Miura Award?

This is a travel support award to the IEEE-RAS International Conference on Humanoid Robots established by the IEEE-RAS Technical Committee on Humanoid Robotics in recognition of Dr. Kanako Miura’s contributions to the field. Candidates for the award are doctoral and master course female students entering the field of robotics research.

Dr. Miura (1976-2013) worked at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan. Her expertise was in biomechanics, tele-communication, and human-like motion synthesis on humanoid robots. She continued her research in advanced biped locomotion at MIT. In the spring of 2013, she passed away in a tragic accident. The community was deeply saddened by this event. This award program was created to memorialize both her achievements and her friendship to so many in our community.

How to Apply

Any female students attending Humanoids 2022 can apply for this award by filling out this form and emailing it to humanoids2022kmaward(at)googlegroups.com; please use “Kanako Miura award application” in your subject line. Please note that the application deadline has been extended to November 25, 2022.

Decisions will be announced shortly after the deadline. Awardees will receive their awards during the award ceremony at the conference.

The Technical Committee on Model-Based Optimization for robotics is excited to kick off a new virtual seminar series.

We'll be getting started with a talk from Zac Machester of CMU at 10AM EST on Friday November 18th. It should be an engaging start to the series, and we hope to see many of you there!

Speaker: Zac Manchester

Title: Composable Optimization for Robotic Motion Planning and Control

Date: Friday, November 18th
Time: 10-11 AM EST (GMT -05:00)

Link:https://columbiauniversity.zoom.us/j/91247893326?pwd=L2JWU21aQzc4cU1ZQklEb0QrWGQvdz09

Please see attached document for details on the speaker and the abstract.

Stay tuned for more details to come on other TC seminars that we'll be holding this spring. Our rough schedule is below. We're looking forward to this fantastic slate of speakers to help keep everyone in touch across the long gap in conferences until ICRA. 

January: Carlos Mastalli and Majid Khadiv
February: Justin Carpentier
March: Nathan Ratliff
April: Hae-Won Park and Ioannis Havoutis 

Please don't hesitate to reach out if you have any questions at tc.opt.rob@gmail.com or visit out website https://www.ieee-ras.org/model-based-optimization-for-robotics.

 

The Fourth Industrial Revolution, also known as Industry 4.0, represents the technological evolution from traditional manufacturing systems to cyber-physical systems, which leads to improvement of overall productivity and reductions of environmental impact, thus promoting sustainable economic development. Industry 4.0 has been driven by emerging technology developments in the field of digital twin, artificial intelligence, robotic and automation, Internet of Things (IoT), cloud computing, and edge/fog computing, and has been a hot topic in both academia and industry. Implementation of IoT connects the physical assets to cyber networks and captures
a significant amount of data. The resulting big data are fed to AI-based mission-critical systems to perform effectively production monitoring, quality inspection, root cause analysis, quality prediction, and process control. The proper adoption of relevant industry 4.0 technologies should lead to significant efficiency improvement and cost reduction in various industrial sectors.

 

The goal of this special issue is to bring together researchers and practitioners from academia and industry to provide a forum for discussing industrial automation research on smart manufacturing and machine learning. It addresses the needs and challenges for integration with efficient machine learning algorithms and engineering solutions. Besides, it provides a vision for future research and development in the area of intelligent automation. The main theme of the special issue is machine learning for Industry 4.0, where digital factories, additive manufacturing, digital twins, cognitive and collaborative robots, freight transportation, process control, plant-wide systems, and broad aspects and issues will be well discussed.

 

Topics of interest include, but are not limited to:
• Machine learning for advanced automation
• Incremental and transfer learning
• Smart and digital factories
• Smart logistics and warehouses
• Robot vision and applications in automation
• Fault diagnosis, prediction and prognostics
• Industrial Internet of Things
• Edge computing-based machine learning for automation
• Big data analytics for forecasting and planning
• Integrated productivity and quality analysis
• Production planning, scheduling and control algorithms
• Digital twin for automation
• Data mining and data-driven decision making
• AI methods customized for different industries
• Online real-time data anomaly detection framework
• Sustainable manufacturing and remanufacturing
• 3D printing and additive manufacturing
• Industry 4.0 case studies

 

Important Dates

• 15 Oct. 2022 – Submission deadline
• 1 Dec. 2022 – First decision to authors
• 15 Jan. 2023 – Resubmission
• 1 Mar. 2023 – Final decision
• 10 Mar. 2023 – Final manuscripts upload
• 15 Mar. 2023 – Guest editorial due
• Jun. 2023 – Publication

 

Guest Editors

Prof. MengChu Zhou
New Jersey Institute of Technology,

zhou@njit.edu

 
Prof. Yan Qiao
USA Macau University of Science and Technology, China

yqiao@must.edu.mo 

 

Prof. Bin Liu
IKAS Industries, China

 

Prof. Birgit Vogel-Heuser 
Technical University of Munich, Germany 

 

Prof. Heeyoung Kim
Korea Advanced Institute of Science and Technology, Korea

Don't wait! The Award Nomination Deadline is 1 September 2022

Awards

Who are Leaders in the robotics and automation field? Who should be honored with a prestigious IEEE RAS Award? Consider nominating them! But hurry, the deadline for IEEE Robotics & Automation Society Award nominations is midnight (US EST) 1 September 2022.

Details for each award, including eligibility, nomination requirements and lists of previous recipients, may be found here:
www.ieee-ras.org/awards-recognition/society-awards

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RAS Media Services Board and Student Activities Committee are searching for social media ambassadors for our main RAS sponsored conferences. Travel support is included up to $500.00 USD.
If interested please apply here.
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