RAS Standards Meeting will be held virtually on 27 October 2020 9:00am-11:00pm EDT
The IEEE Standards Association under the IEEE Robotics and Automation Society (RAS) is reviewing the proposal to establish a Study Group, Semantic Map for Autonomous Robots (SMART), to investigate the feasibility of creating standard for common representation of semantic map data for robots and validation under common parameters, with the goal of enabling robots to be more intelligent, and be able to plan and execute high level robotic tasks within real-world environments.
The SMART Study Group will investigate the potential for standardizing semantic map data model, data representation and data formats to express the relation among the data model entities. The data model expresses cognitive information about the environment of various types of robots equipped with artificial intelligence in the form of a global map containing local maps and transformation through the absolute and relative coordinate system. The standard data format permits the exchange of information among the mobile robots in a standardized method. Moreover, the standard contributes to promote development of experimental methodologies for mobile robotics as a valuable tool for facilitating comparison, benchmarking, and evaluation of semantic maps obtained from different systems.
The expected benefits of the established standard for semantic map data representation will facilitate various robotics applications such as autonomous robot navigation, factory logistic systems, industrial and agricultural robots, defense and rescue robots, and service robots for domestic application.
RAS Standards: Proposal of Study Group on Semantic Maps
Tuesday, October 27, 2020
9:00 am | (UTC-04:00) Eastern Time (US & Canada) | 2 hrs
Meeting number (access code): 132 686 1053
Meeting password: RAS2020
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The advent of robot-assisted surgery has consistently improved the outcome of surgical procedures by providing more effective and precise medical interventions. Hence, in recent years, autonomous systems in robotic surgery have attracted growing research interests in an enormous scope of applications. Concurrently to the growing needs and requests of sophisticated mechanisms that can help, enhance the medical procedure and in some extent replace the medical practitioners, concerns related to the safety of completely autonomous surgical robotic systems have emerged during the years. Hence, how to integrate advanced designs, modeling, perception, learning, control, and cognition, which involve the highest levels of the imaginative ability to bring the multi-information together and create novel solutions, is an effective way to enhance the level of autonomy of intelligent surgical robotic system and it is becoming an inspiring and promising subject which aim at improving the performance of
robotics surgery. However, there are still many challenges and problems related to safety of autonomous robotic surgical systems and their integration with the medical team which can be tackled only by developing more advanced robotic solutions.
The Deadline to vote is 12 November 2020!
RAS members are voting to elect new RAS Administrative Committee members to serve 3-year terms beginning 1 January 2021. All RAS members (Graduate Student Members and above) have received voting instructions, the biographies, and statements of the candidates by email. RAS membership must be active as of 15 August 2020 to be eligible to vote. Members who do not have valid emails registered with the IEEE or have opted not to receive e-mail from IEEE, have received their election materials by post.
Use https://eballot4.votenet.com/IEEE to access the ballot and cast your vote now. If you do not remember your password, you may retrieve it on the voter login page. Voting must be completed no later than 12 November 2020. Any returns received after this date will not be counted. The online voting site will close at 4:00 pm Eastern Time.
Candidate bios and position statements are here: https://www.ieee-ras.org/about-ras/governance/election-candidates
If you have any questions about the IEEE Robotics and Automation Society voting process, please contact firstname.lastname@example.org or +1 732-562-3904.
We are pleased to offer you the September 2020 issue of the IEEE Robotics and Automation Magazine!
|Miniaturized Robotics: The Smallest Camera Operator Bot Pays Tribute to David Bowie||Olivier Lehmann, Jean-Yves Rauch, Youen Vitry, Tibo Pinsard, Pierre Lambert, Michael Gauthier|
|Collaborative Surgical Robots: Optical Tracking During Endovascular Operations||Christoff M. Heunis, Beatriz Farola Barata, Guilherme Phillips Furtado, Sarthak Misra|
|Sewing up the Wounds: A Robotic Suturing System for Flexible Endoscopy||Lin Cao, Xiaoguo Li , Phuoc Thien Phan, Anthony Meng Huat Tiong, Hung Leng Kaan, Jiajun Liu, Wenjie Lai , Yanpei Huang, Huu Minh Le, Muneaki Miyasaka, Khek Yu Ho, Philip Wai Yan Chiu, Soo Jay Phee|
|Toward Autonomous Driving by Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software||Kento Kawaharazuka, Kei Tsuzuki , Yuya Koga, Yusuke Omura, Tasuku Makabe, Koki Shinjo, Moritaka Onitsuka, Yuya Nagamatsu, Yuki Asano, Kei Okada, Koji Kawasakii, Masayuki Inaba|
|Unmanned Aerial Vehicle-Based Hazardous Materials Response: Information-Theoretic Hazardous Source Search and Reconstruction||Michael Hutchinson, Cunjia Liu, Paul Thomas, Wen-Hua Chen|
|Vine Robots: Design, Teleoperation, and Deployment for Navigation and Exploration||Margaret M. Coad, Laura H. Blumenschein, Sadie Cutler, Javier A. Reyna Zepeda, Nicholas D. Naclerio, Haitham El-Hussieny, Usman Mehmood, Jee-Hwan Ryu, Elliot W. Hawkes, Allison M. Okamura|
With much sadness, we report that our friend Alberto Elfes peacefully rested on 5 July 2020 at age 67. The robotics community bid farewell to one of its pioneers, an outstanding researcher who, in the mid-eighties, invented the occupancy grid mapping, the embryo of the probabilistic techniques in robotics.
Born from german parents, in Maceio, State of Alagoas, Brazil, from an early age Alberto was interested in science and technology. In his late teens, he passed the admission entry exam to the Aeronautics Institute of Technology (ITA), Brazil. There he graduated in Electronic Engineering in 1975, obtained his master's degree in computer science in 1980, and was immediately hired as faculty. Alberto joined the Carnegie Mellon University in 1982 to pursue a Ph.D. in the emerging field of robotics. His dissertation entitled "Occupancy Grids: A Probabilistic Framework for Robot Perception and Navigation" marks a milestone in mobile robotics research.
After leaving Carnegie Mellon, Alberto held positions as Principal Research Scientist at the T.J. Watson Research Center (1989-1993), where he created the Mobile Robotics Laboratory. He returned to Brazil as project coordinator for the United Nations Development Program (UNDP) (1994-1997), where he acted as the director of the Automation Institute of Center for Information Technology (CTI) in Campinas, São Paulo (1994-1999). Among several advancements, Alberto conceived the Aurora Project, an autonomous airship for long term aerial monitoring and exploration (which was further advanced in this work at JPL). He then moved to Ulm/Germany as Mercator Professor (2000), and after one year, he accepted a position as Principal Scientist at Jet Propulsion Laboratory (2001-2011). In the last part of his career, he became the Chief Research Scientist in the Autonomous Systems Laboratory (ASL) at CSIRO in Brisbane, Australia, where he retired in May 2020.
Alberto was not only an all-embracing and curious mind, a cosmopolite, and a passionate robotics researcher but a caring teacher, mentor, and above all, a human being whose kindness touched each one who had the privilege to spend even a minute with him. Alberto Elfes was a loving husband to Noemia Elfes, an adored father to Cristiane and Albert, and an affectionate grandfather to Gabriel. He leaves a massive void in this presently unoccupied square of the grid, especially in our hearts, which only time can fill.
Mario F. Montenegro Campos, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Erwin Prassler, Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, Germany
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
Special Issue on Challenges and Responses of Automation Science and Engineering to the COVID-19 Pandemic
The recent COVID-19 pandemic outbreak has posed a significant threat to health, life, economy, and the whole society, but also led to numerous challenges and opportunities to automation science and engineering research. Accurate and efficient testing and tracing of infective patients, rapid response of medical workforce, quick reconfiguration of manufacturing system for protective equipment, secured supply chain of medical resources, reliable tele-health and online services, safe reopening of business operations, and future fast production of vaccines, etc., are essential to help reduce system risk, prevent further infections, stabilize economy, and restore social life. Advanced automation science and engineering technologies, such as AI, data analytics, optimization, robotics, additive and digital manufacturing, 5G network, are critical to ensure effective responses. Such challenges and opportunities have significantly expanded the scopes of traditional automation science and engineering.
Deadline Date- 15 September 2020
IEEE HAC/SIGHT are soliciting IEEE member proposals for humanitarian and sustainable development projects that utilize technology to fight against COVID-19 in the areas of immediate impact, poverty mitigation, and inequality reduction.
Earlier this year, HAC/SIGHT funded over 70 grassroots member projects from 25 countries and 5 IEEE Regions in response to COVID-19. Given the tremendous response, another call for proposals has started. This time, the project scope areas are expanded to reflect the fact that the pandemic has not only affected health, but also exacerbated poverty and laid bare systemic inequality throughout the world.
Proposals may be submitted between now and 15 September 2020. More information may be found here!
F1TENTH is an international community of researchers, engineers, and autonomous systems enthusiasts working with 1/10th scale autonomous racecars. We are excited to announce the 8th F1TENTH Autonomous Grand Prix/IROS 2020 F1TENTH autonomous racing competition! The IROS2020 timeline and more information is available on the race page.
Teams must develop robust perception, planning, and control algorithms that can deal with the uncertainties of a new track and new competitors. Just like a real Grand Prix, teams first qualify in a timed trial against each other to determine seeding and then compete head-to-head in an intense battle of algorithms. Highlights from the recent (July 2020) virtual IFAC competition can be viewed here.
We will be kicking off the 8th F1TENTH Autonomous Grand Prix with a webinar on September 2 at 13:00 EDT. We will go over race logistics and how to get started with the race simulator. The meet link is here.
Information on how to get started can be found in the Guidelines document.
Congratulations to the IEEE Robotics and Automation Society members recently elevated to Senior Member status by the IEEE Admission and Advancement 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)
In addition, candidates for Senior Member grade must supply three references from current IEEE members holding the grade of Fellow, Senior Member, or Honorary Member.
Congratulations to John Vig, IEEE Past President, IEEE Life Fellow and RAS member, for being selected recipient of the 2020 IEEE Richard M. Emberson Award!
The 2020 IEEE Richard M. Emberson Award is given for distinguished service advancing the technical objectives of the IEEE, sponsored by the IEEE Technical Activities Board, is presented to JOHN VIG “For leadership, entrepreneurship, and perseverance in founding the IEEE Sensors Council and associated technical journals.”
Read more about the 2020 Medal and Recognition recipients at the Honors Ceremony Vision Innovation Challenges Summit
Over the last decade there has been a significant increase of research activities focusing on robotic grasping and dexterous manipulation in dynamic and unstructured environments. The special issue “Robotic Grasping and Manipulation Challenges and Progress” of the IEEE Robotics and Automation Letters aims to summarize the state of the art and recent progress that has been achieved by the teams participating in the grasping and manipulation competitions of the IEEE-RAS Technical Committee on Robotic Hands, Grasping and Manipulation.
Due to the impact and disruption from Covid-19, the nominations deadline has been extended by one week. We hope that this will allow for a broader response in all categories.
Don't wait! The Award Nomination Deadline is Saturday, 1 August - NOW 8 August!!!.
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) 8 August 2020.
Details for each award, including eligibility, nomination requirements and lists of previous recipients, may be found here:
Congratulations to the following Authors for their outstanding achievement as recipients of RAS Publication Awards!
While automated vehicle are ready to evolve in restricted and dedicated areas, autonomous vehicles are still facing difficulties to sense, interpret and decide their actions when facing situations in different environments. Various environments concern offroad environment, shared environment, crowdy and human populated environment, Among the difficulties, the first one is to succeed in the task to sense and interpret the scene in order to be aware about the situation and its evolution. The second one is to deal with the uncertainty of modelling, sensing, interpretation in decision and control. The third one is to take into account human behavior as manual drivers, pedestrians or human using new electric mobility system. The most challenging is to the understand and incorporate the changes in the environment for long term and safe navigation. With the recent revival of Artificial Intelligence (AI), Data and Model driven approaches and algorithms offer the new opportunity to develop autonomous vehicles by improving their perception, Decision and control. This special issue aims to present the recent advances in Artificial Intelligence, Modelling, Perception, Decision and Control for extending the autonomy of robots. This is an opportunity to gather researchers in developing fundamental principles to discuss and share original research works and practical experiences.