The German Rescue Robotics Center (DRZ) invites participants to the
International Symposium on the Current State and Challenges for
Intelligent Robotic Assistance in Disaster Response
When: 1 Oct 2021, 13:00-16:30 (CET)
Where: Online and onsite in Dortmund, Germany
What: Invited talks by leading researchers and practitioners and a round
table discussion
The symposium will highlight the current status and future challenges in
intelligent ground and aerial robotic systems assisting in disaster
response from the perspectives of research, development, training, and
application.
Confirmed speakers:
* Emanuele Gissi, Italian Fire and Rescue Service
* Adam Jacoff, NIST, USA
* Jean-Paul Monet, Bouches-du-Rhone Fire Department, France
* Robin Murphy, Texas A&M University, USA
* Tomas Svoboda, Czech Technical University, Prague, Czech Republic
* Satoshi Tadokoro, Tohoku University, Japan
We welcome a broad audience, including first responders, industry,
academia and general public.
For more details and updates on the program and to register (free of
charge) please visit the website:
https://rettungsrobotik.de/en/symposium [1]
The International Symposium Rescue Robotics is part of the Rescue
Robotics Days 2021: https://rettungsrobotik.de/en/rettungsrobotiktage/
[2]
Ivana Kruijff-Korbayova and Oskar von Stryk (Symposium Co-Chairs)
Links:
------
[1] https://rettungsrobotik.de/en/symposium/
[2] https://rettungsrobotik.de/en/rettungsrobotiktage/
Dear RoboCuppers,
You are welcome to participate in the RoboCup Asia-Pacific 2021 (RCAP 2021).
============== Call for Participation ===============
*RoboCup Asia-Pacific 2021 (RCAP 2021)*
25-29 November 2021
https://2021.robocupap.org/eng/participation.html
RoboCup Asia-Pacific 2021 Aichi Japan (RCAP 2021) will be held at Aichi Sky
Expo (Aichi International Convention & Exhibition Center), November 25-29,
2021.
RCAP 2021 will be held in a hybrid ON-SITE and VIRTUAL format. Due to the
current uncertainties of Covid-19, ON-SITE competitions will only open to
participants from Japan.
- ON-SITE Competitions: Participants from Japan.
- VIRTUAL Competitions: Participants from all over the world.
*LEAGUES:*
Virtual Competitions are open to participants from all over the world, with
most of the leagues of RoboCup 2021 Worldwide.
For details of leagues, please refer to:
https://2021.robocupap.org/eng/leagues.html
*REGISTRATION:*
All teams are required to pre-register through the online form:
https://2021.robocupap.org/eng/registration.html
*IMPORTANT DATES:*
- Deadline for pre-registration (both on-line and virtual competitions):
30 September 2021
- Announcement of qualified teams: 14 October 2021
- Deadline for registration: 4 November 2021
*REGISTRATION FEES:*
The registration fee is waived for all Japanese teams/members.
The registration fee for teams to participate in virtual competitions
(except teams from Japan):
- Major Team Registration Fee: Waived
- Major Staff/Students: USD60/person
- Junior Team Registration Fee: Waived
- Junior Students/Mentors: USD40/person
*SYMPOSIUM:*
https://2021.robocupap.org/eng/symposium.html
*CONTACT:*
For inquiries please contact us via the hereunder email addresses:
- Aichi Local Organizing Committee (General Enquiries, On-site
competitions):
- rcap2021(a)intergroup.co.jp
- RCAP Office (Registration fees and payments, Virtual competitions):
- office(a)robocupap.org
For more information please visit our official website at
https://2021.robocupap.org/eng/index.html
We look forward to welcoming you to RCAP 2021 Aichi Japan!
Best Regards,
RoboCup Asia-Pacific (RCAP) Office,
RoboCup Asia-Pacific 2021 (RCAP 2021) Organizing Committee
=======================================
Registrations are open for RoboCup Brazil Open 2021
The event will be virtual, with most of the categories of RoboCup Federation
RoboCup Brazil launches the RoboCup Brazil Open, a virtual event with most
of the categories of the Robocup WorldWide. Registrations are now open for
teams from all over the world.
All the categories have been adapted and will happen in a fully remote
format, using simulators, challenges, and submission of articles written by
the teams. Our goal is to disseminate the studies and technologies
developed by universities in the field of robotics and AI. The event will
happen on *October 11th-15th* and will be broadcast through lives on the
RoboCup Brazil Youtube channel. In 2020, more than 700 students from Latin
America attended the event.
=============
Categories:
=============
RoboCup Soccer Simulation 3D League
RoboCup Soccer Simulation 2D League
RoboCup Small Size Soccer League
RoboCup Soccer Humanoid League
RoboCup Soccer Standard Plataform League (SPL)
RoboCup @Home
RoboCup Open Flying Robot Trial League
RoboCupJunior Soccer Open
RoboCupJunior Rescue Maze Primary
RoboCupJunior Rescue Maze
RoboCupJunior Rescue Simulation Primary
RoboCupJunior Rescue Simulation Open
IEEE Humanoid Robot Racing (HRR)
IEEE Open
IEEE Standard Educational Kit (SEK)
IEEE Very Small Size Soccer
=================
Registration
=================
To participate, you and your team must register *by August 30th*, on the
website: www.cbrobotica.org . The registration fee is US$ 50 per team.
*RoboCup Brasil is a non-profit civil association, organized by volunteer
professors and researchers. The association holds the Brazilian Robotics
Olympiad, the Brazilian Robotics Competition, and the National Robotics
Show.*
--
RoboCup Brazil
http://www.robocup.org.br/
Dear colleagues,
After the success of the GenR 2021 workshop at RO-MAN 2021 last week, I am
pleased to announce that the homonym Special Issue “GENDERING ROBOTS:
Ongoing (Re)configurations of Gender in Robotics” is now open for
submissions on the International Journal of Social Robotics (IJSR)! The
Special Issue opened on August 12th and will stay open until January 31st,
2022. All submitted papers will be reviewed as soon as they are received
and the accepted papers will be published online first until the complete
Special Issue is published. Please note that we welcome submissions from
all disciplines addressing the topic of gender in robots and are open to
submissions from Ethics, Social Sciences, Psychology, and Humanities, as
well as more technical and traditional Social Robotics and HRI papers.
You can find more information on the Special Issue below and on our website
<https://sites.google.com/view/ro-man21-genr-workshop/special-issue?authuser…>.
Please feel free to reach out for questions and details to our email
addresses (see below).
Kindest regards,
Giulia Perugia
=============================================================
*SPECIAL ISSUE GENDERING ROBOTS: ONGOING (RE)CONFIGURATIONS OF GENDER IN
ROBOTICS*
International Journal of Social Robotics (IJSR) - Impact Factor 5.126
(2020) [link to journal <https://www.springer.com/journal/12369/>][link to
special issue <https://www.springer.com/journal/12369/updates/19292566>]
The field of HRI is increasingly employing humanoid robots and
anthropomorphic designs to aid social interactions between humans and
robots. However, designing robots with human-like characteristics can have
far-reaching implications. For instance, integrating identity markers such
as gender into robotic systems can involuntarily transfer implicit biases
into the human-robot interaction (HRI) and perpetuate harmful structural
patterns and societal stereotypes. This Special Issue aims to *deepen the
social, ethical, and psychological understanding of the attribution of
gender to robots, addressing how the design and use of gendered robots
might impact HRI and affect society at large*. We welcome original papers
investigating the attribution of gender to social robots, the influence of
robot’s gender on the perception of and interaction with robots (e.g.,
acceptance, trust), the design of gendered robots, and its ethical and
societal implications. Through this special issue, we would like to inspire
discussions about the mindful use of robots in society and promote the
possibility of using robots to challenge harmful social practices (e.g.,
gender stereotypes, gender inequality). Our ultimate goal is to bridge the
communication gap we observed between the different disciplines addressing
the topic of gender in robotics and the lack of spaces to converse with and
learn from one another.
The Special Issue is based on the GenR workshop “GENDERING ROBOTS: Ongoing
(Re)configurations of Gender in Robotics” which took place on August 12th,
2021 at the 30th IEEE International Conference on Robot and Human
Interactive Communication (RO-MAN 2021). The Special issue opened on August
12th, 2021 and will stay open until *January 31st, 2022*. All submitted
papers will be reviewed as soon as they are received. Accepted papers are
published Online First until the complete Special Issue is published.
*Topics of interest* include, but are not limited to
- Gendering practices in Social Robotics
- Experimental studies on gendered robots
- Feminist robotics
- Robot’s gender design
- Norm-critical design
- Queer design in HRI
- Sex Robots
- Ethics of Gendered Robots
- Normative deviance in relation to robot gender
- Societal implications and applications of gendered robots
- Performative arts encompassing a reflection on gender in robotics
- Non-binary perspectives on robot gender
*Instructions to submit your paper to the Special Issue:*
When submitting your paper to the International Journal of Social Robotics
via the Editorial Manager, you will be asked if your paper belongs to a
special issue, please select YES as an answer. At this point, a *pull down
menu* will appear and you will be able to select the title of the special
issue, select "GENDERING ROBOTS (GenR): Ongoing (Re)configurations of
Gender in Robotics". Besides selecting the Special Issue upon submission,
you should also specify in your *cover letter* that you wish to submit your
manuscript to the special issue "GENDERING ROBOTS (GenR): Ongoing
(Re)configurations of Gender in Robotics".
Please, feel free to contact us should you need further information about
the special issue.
The Guest Editors:
- Dr. Giulia Perugia (Lead guest editor): giulia.perugia(a)it.uu.se
- Dr. Katie Winkle: winkle(a)kth.se
- Dominika Lisy: dominika.lisy(a)liu.se
- Ryan Blake Jackson: rbjackso(a)mymail.mines.edu
Robust, Explainable, and Privacy-Preserving Deep Learning
https://www.journals.elsevier.com/knowledge-based-systems/call-for-papers/r…
<https://urldefense.com/v3/__https://www.journals.elsevier.com/knowledge-bas…>
*Aim and Scope*
The exponentially growing availability of data such as images, videos and
speech from myriad sources, including social media and the Internet of
Things, is driving the demand for high-performance data analysis
algorithms. Deep learning is currently an extremely active research area in
machine learning and pattern recognition. It provides computational models
of multiple nonlinear processing neural network layers to learn and
represent data with increasing levels of abstraction. Deep neural networks
are able to implicitly capture intricate structures of large-scale data and
deploy in cloud computing and high-performance computing platforms. The
deep learning approach has demonstrated remarkable performances across a
range of applications, including computer vision, image classification,
face/speech recognition, natural language processing, and medical
communications. However, deep neural networks yield ‘black-box’
input-output mappings that can be challenging to explain to users.
Especially in the healthcare, cybersecurity, and legal fields, black-box
machine learning techniques are unacceptable, since decisions may have a
profound impact on peoples’ lives due to the lack of interpretability. In
addition, many other open problems and challenges still exist, such as
computational and time costs, repeatability of the results, convergence,
and the ability to learn from a very small amount of data and to evolve
dynamically. Further, despite their enormous societal benefits, deep
learning can pose real threats to personal privacy. For example, deep
neural networks and other machine learning models are built based on
patients' personal and highly sensitive data such as clinical records or
tracked health data in the domain of healthcare. Moreover, they can be
vulnerable to attackers trying to infer the sensitive data that was used to
build the model. This raises important research questions about how to
develop deep learning models that protect private data against inference
attacks while still being accurate and useful predictive models.
This Special Issue will present robust, explainable, and efficient
next-generation deep learning algorithms with data privacy and theoretical
guarantees for solving challenging artificial intelligence problems. This
Special Issue aims to: 1) improve the understanding and explainability of
deep neural networks; 2) improve the accuracy of deep learning leveraging
new stochastic optimization and neural architecture search; 3) enhance the
mathematical foundation of deep neural networks; 4) design new data privacy
mechanisms to optimally tradeoff between utility and privacy; and 5)
increase the computational efficiency and stability of the deep learning
training process with new algorithms that will scale. Potential topics
include but are not limited to the following:
· Novel theoretical insights on the deep neural networks
· Exploration of post-hoc interpretation methods which can shed
light on how deep learning models produce a specific prediction and
generate a representation
· Investigation of interpretable models which aim to construct
self-explanatory models and incorporate interpretability directly into the
structure of a deep learning model
· Quantifying or visualizing the interpretability of deep neural
networks
· Stability improvement of deep neural network optimization
· Optimization methods for deep learning
· Privacy preserving machine learning (e.g., federated machine
learning, learning over encrypted data)
· Novel deep learning approaches in the applications of
image/signal processing, business intelligence, games, healthcare,
bioinformatics, and security
*Important Dates*
· Submission Deadline: August 31, 2021
· First Review Decision: September 30, 2021
· Revisions Due: October 31, 2021
· Final Decision: November 30, 2021
· Final Manuscript: December 31, 2021
*Review Procedures*
This special issue will run as per the timeline given from submission to
publication, while maintaining the rigorous peer review and high standards
of the journal. All manuscripts submitted must be original, not under
consideration elsewhere, and not previously published. A guide for authors
and other relevant information for submission of manuscripts are available
on the Guide for Authors’ page. Authors can expect their manuscripts to be
reviewed fairly, and in a skilled, conscientious manner. To enhance
objectivity, and to guarantee high scientific quality and relevance to the
subject, three peer reviewers will be selected to evaluate a manuscript.
The peer review process shall be designed to avoid bias and conflict of
interest on the part of reviewers and shall be composed of experts in the
relevant field of research. A key criterion in publication decisions will
be the manuscript’s fit for the special issue and the readership of KBS.
Papers will be published online as soon as accepted in continuous flow.
*Submission Instructions*
The submission system will be open around one week before the first paper
comes in. When submitting your manuscript please select the article type “*VSI:
Deep Learning*”. Please submit your manuscript before the submission
deadline.
All submissions deemed suitable to be sent for peer review will be reviewed
by at least two independent reviewers. Once your manuscript is accepted, it
will go into production, and will be simultaneously published in the
current regular issue and pulled into the online Special Issue. Articles
from this Special Issue will appear in different regular issues of the
journal, though they will be clearly marked and branded as Special Issue
articles.
Please see an example here:
https://www.sciencedirect.com/journal/science-of-the-total-environment/spec…
<https://urldefense.com/v3/__https://www.sciencedirect.com/journal/science-o…>
Please ensure you read the Guide for Authors before writing your
manuscript. The Guide for Authors and the link to submit your manuscript is
available on the Journal’s homepage.
Dear colleagues,
It is with great pleasure that we announce that the schedule
<https://sites.google.com/view/ro-man21-genr-workshop/schedule?authuser=0>
of the GenR 2021 workshop "GENDERING ROBOTS: Ongoing (Re)configurations of
Gender in Robotics'' is online and the registration
<https://sites.google.com/view/ro-man21-genr-workshop/registration?authuser=0>
to the workshop is open!
The GenR 2021 workshop will take place on August 12th from 15:00 to 19:00
(CEST time) as part of the 30th IEEE International Conference on Robot and
Human Interactive Communication (RO-MAN 2021).
Please, find below the schedule of the workshop.
Kindest regards,
Giulia Perugia
===============================
*IEEE RO-MAN 2021 GenR WORKSHOP *
Workshop Date: August 12th, 2021 (15:00 - 19:00 CEST)
Attendees wishing to attend the workshop should register for the workshop
via our website (
https://sites.google.com/view/ro-man21-genr-workshop/registration?authuser=0).
We will then email the joining link to all registered participants ahead of
the event. Alternatively, the link to the workshop will be available to all
registered attendees of RO-MAN 2021.
*WORKSHOP PROGRAM*
*15:00 - 15:10 - INTRODUCTION*
*15:10 - 15:55 - KEYNOTE TALK #1 - PROF. ROBERT SPARROW - Title: TBA*
*15:55 - 16:30 - PAPER PRESENTATIONS #1 *
- Tatsuya Nomura - *Relationships between Gender Conception,
Generations, and Negative Attitudes toward Robots in Japan*
- Laetitia Tanqueray, Ginevra Castellano, and Stefan Larsson - *A
Preliminary Case Study on Gender Norms in Robot-Assisted Diagnosis of
Perinatal Depression: A Socio-Legal HRI Perspective*
- Hanna Pelikan, Sofia Thunberg, and Erika Johnson - *Gender Studies and
Robotics – A Dialogue *
- Katie Winkle, Gaspar Melsion, Iolanda Leite, Madeline Balaam, Donald
McMillan, Maria Arnelid, Katherine Harrison, and Ericka Johnson - *Feminism
x Social Robotics*
- Juana Valeria Hurtado and Valentina Mejia - *Feminist Perspective on
Robot Learning Processes*
*16:30 - 17:05 - PANEL DISCUSSION #1 *
Themes: Diversity in Research Participation, Cross cultural
differences, ‘Effectiveness
vs ethics’ when it comes to (stereotypically) gendered robots
Panelists: Prof. Ericka Johnson, Dr. Katherine Harrison, Prof. Verena
Reiser, Dr. Megan Strait, Prof. James E. Young
*17:05 - 17:15 - COFFEE BREAK *
*17:15 - 17:45 - PAPER PRESENTATIONS #2*
- *Astrid Weiss and Katta Spiel - Should robots have a gender -- Should
they be gendered?*
- *Niklas Ellerich-Groppe, Merle Weßel, Frauke Koppelin and Mark Schweda
- An Ethical Perspective on Gender Stereotyping and Queering in Care
Robotics*
- *Piercosma Bisconti Lucidi and Giulia Perugia - How Do We Gender Robots?
Inquiring the Relationship Between Perceptual Cues and Context of Use *
- *Ryan Blake Jackson and Tom Williams - Eugenicists Should Not Design
Robots: On the Principle of Procreative Beneficence and Robot Gendering*
*17:45 - 18:15 - PANEL DISCUSSION #2*
Themes: Queering Robots and Genderless Robots, Gender Issues: from HRI to
HHI to HRI
Panelists: Prof. Ericka Johnson, Dr. Katherine Harrison, Prof. Verena
Reiser, Dr. Megan Strait, Prof. James E. Young
*18:15 - 19:00 - KEYNOTE TALK #2 - PROF. FRIEDERIKE EYSSEL - Title: Gender.
Diversity and Social Robots: A Social Psychological Perspective*
*19:00 - 19:05 - CONCLUDING REMARKS*
Get ROS2 Industrial Ready: ROS2 Basics + ROS2 Nav2 + Manipulation with
Movelt2
- Where: Barcelona, Spain
- When: September 20, 2021 → September 24, 2021
- Registration website:
https://www.theconstructsim.com/ros2-onsite-training/
- Limited to 20 Spots
Dear Roboticists,
Understanding how ROS2 works is becoming a MUST.
ROS2 is expected to fully replace ROS1 by 2023. The Galactic distribution
released in May 2021 shows ROS2 is very mature and ready for real-world
applications.
In this five-day ROS2 training, learn how to program robots with ROS 2
Galactic, including navigation and grasping.
Participants will practice with robot simulations and then with real robots
to test their programs live.
WHAT YOU’LL LEARN
- Creation of ROS2 packages
- Management of the new Colcon universal building system
- Topic publishers and subscribers in ROS2 Python
- Nodes management: life cycle, executors and callback groups
- Services and actions
- Hybrid application with ROS1 and ROS2
- Use of debugging tools in ROS2
- ROS2 Mapping
- ROS2 Localization
- ROS2 Path Planning
- ROS2 + DDS
- Create and configure a MoveIt2 package for a robotic arm
- Perform ROS2 Motion Planning & Grasping
AT A GLANCE
Prerequisites
- Knowledge of Python Programming language
- Basic understanding of Linux Ubuntu Operating System
- Knowledge of ROS1 (recommended but not required)
Language: English
Programming Language: Python
REAL ROBOTS USED
- RB-1 BASE mobile robot (provided by Robotnik <https://robotnik.eu/>)
- UR3e robot arm
WHO IS THIS WORKSHOP FOR?
- ROS developers that want to transition to ROS2
- Researchers focusing their research on ROS2
- Engineers or CTOs who want to build scalable robotics products, faster.
TRAINING DETAILSDay 1 - ROS2 Fundamentals
Topic 1 Understanding Basic ROS2 Concepts
- Structure and launch ROS2 programs (packages and launch files)
- Create basic ROS2 programs (Python-based)
- Understand basic ROS2 concepts: Nodes, Client Libraries, etc.
Topic 2 ROS2 Topics
- Topic Subscribers
- Topic Publishers
- Interfaces
- Management of nodes
Topic 3 ROS2 Debugging Tools
- Use logs in ROS2
- RViz2 debugging tool
- ROS2 doctor
Day 2: ROS2 Advanced Topics
- ROS2 DDS
- ROS2 Services
- ROS2 Actions
- ROS1_Bridge
Day 3: ROS2 Nav2
- ROS2 Mapping
- ROS2 Localization
- ROS2 Path Planning and Obstacle Avoidance
Day 4: ROS2 Nav2 Advanced Features & Manipulation
Topic 1 ROS2 Nav2 Galactic Functionality
- Waypoint Task Executors
- Speed Limited Zones
- Keep out zones
Topic 2 Arm Navigation with MoveIt2
- Configure a Moveit2 package for a robotic arm
- Programatically perform motion planning
Day 5: Grasping
- Use perception to detect object location
- Grasp object
This course created by The Construct (http://theconstructsim.com/), in
cooperation with Robotnik (https://www.robotnik.eu/).
*Yuhong Lin*
VP of Marketing at The Construct
ylin(a)theconstructsim.com
www.theconstructsim.com
[image: https://app.theconstructsim.com/#/Profile/ylin2]
<https://app.theconstructsim.com/#/Profile/ylin2> [image: Facebook]
<http://www.facebook.com/theconstructsim> [image: Twitter]
<https://twitter.com/_TheConstruct_> [image: LinkedIn]
<https://www.linkedin.com/company/the-construct>