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[journals] Neural Computing and Applications (NCAA) Special Issue CFP (Deadline: March 31, 2022)
by Pub Conference 08 Jan '22

08 Jan '22

Neural Computing and Applications <https://urldefense.com/v3/__https://www.springer.com/journal/521/__;!!LIr3w…> Topical Collection on Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization https://www.springer.com/journal/521/updates/19187658 <https://urldefense.com/v3/__https://www.springer.com/journal/521/updates/19…> Aims, Scope and Objective While Big Data offers the great potential for revolutionizing all aspects of our society, harvesting of valuable knowledge from Big Data is an extremely challenging task. The large scale and rapidly growing information hidden in the unprecedented volumes of non-traditional data requires the development of decision-making algorithms. Recent successes in machine learning, particularly deep learning, has led to breakthroughs in real-world applications such as autonomous driving, healthcare, cybersecurity, speech and image recognition, personalized news feeds, and financial markets. While these models may provide the state-of-the-art and impressive prediction accuracies, they usually offer little insight into the inner workings of the model and how a decision is made. The decision-makers cannot obtain human-intelligible explanations for the decisions of models, which impede the applications in mission-critical areas. This situation is even severely worse in complex data analytics. It is, therefore, imperative to develop explainable computation intelligent learning models with excellent predictive accuracy to provide safe, reliable, and scientific basis for determination. Numerous recent works have presented various endeavors on this issue but left many important questions unresolved. The first challenging problem is how to construct self-explanatory models or how to improve the explicit understanding and explainability of a model without the loss of accuracy. In addition, high dimensional or ultra-high dimensional data are common in large and complex data analytics. In these cases, the construction of interpretable model becomes quite difficult and complex. Further, how to evaluate and quantify the explainability of a model is lack of consistent and clear description. Moreover, auditable, repeatable, and reliable process of the computational models is crucial to decision-makers. For example, decision-makers need explicit explanation and analysis of the intermediate features produced in a model, thus the interpretation of intermediate processes is requisite. Subsequently, the problem of efficient optimization exists in explainable computational intelligent models. These raise many essential issues on how to develop explainable data analytics in computational intelligence. This Topical Collection aims to bring together original research articles and review articles that will present the latest theoretical and technical advancements of machine and deep learning models. We hope that this Topical Collection will: 1) improve the understanding and explainability of machine learning and deep neural networks; 2) enhance the mathematical foundation of deep neural networks; and 3) increase the computational efficiency and stability of the machine and deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following: - Interpretability of deep learning models - Quantifying or visualizing the interpretability of deep neural networks - Neural networks, fuzzy logic, and evolutionary based interpretable control systems - Supervised, unsupervised, and reinforcement learning - Extracting understanding from large-scale and heterogeneous data - Dimensionality reduction of large scale and complex data and sparse modeling - 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 Guest Editors Nian Zhang (Lead Guest Editor), University of the District of Columbia, Washington, DC, USA, nzhang(a)udc.edu Jian Wang, China University of Petroleum (East China), Qingdao, China, wangjiannl(a)upc.edu.cn Leszek Rutkowski, Czestochowa University of Technology, Poland, leszek.rutkowski(a)pcz.pl Important Dates Deadline for Submissions: March 31, 2022 First Review Decision: May 31, 2022 Revisions Due: June 30, 2022 Deadline for 2nd Review: July 31, 2022 Final Decisions: August 31, 2022 Final Manuscript: September 30, 2022 Peer Review Process All the papers will go through peer review, and will be reviewed by at least three reviewers. A thorough check will be completed, and the guest editors will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time. The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue (with at least 30% difference from the original works). Submission Guidelines Paper submissions for the special issue should strictly follow the submission format and guidelines ( https://www.springer.com/journal/521/submission-guidelines <https://urldefense.com/v3/__https://www.springer.com/journal/521/submission…>). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables). Manuscripts must be submitted to the journal online system at https://www.editorialmanager.com/ncaa/default.aspx <https://urldefense.com/v3/__https://www.editorialmanager.com/ncaa/default.a…> . Authors should select “TC: Interpretation of Deep Learning” during the submission step ‘Additional Information’.

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[news]AAMAS2022 : Final Call for Applications - Doctoral Consortium - Deadline : January 7 2022 (Tomorrow)
by Brian Ravenet 06 Jan '22

06 Jan '22

************Final Call for AAMAS-22 Doctoral Consortium Applications (Deadline Extended to Jan 7 UTC-12)******** Submission Deadline: January 5 January 7 (23:59 UTC-12) Author Notification: February 5 (23:59 UTC-12) Camera Ready Deadline: February 28 (23:59 UTC-12) Doctoral Consortium: May 9 - 10 UPDATE: AAMAS 2022 and the doctoral consortium to be held as fully virtual events. DOCTORAL CONSORTIUM PROGRAM: The doctoral consortium (DC) of AAMAS 2022 is intended to provide Ph.D. students the opportunity (1) to receive feedback on their research (from established researchers in their fields), (2) to interact closely with established researchers/mentors, and (3) to build their professional network. Each accepted student to the program will be matched with an established researcher/mentor in the field who will assist the student with research and career management advice. An informal lunch will be organized between the students and their mentors allowing for in-depth discussion and exchange. Each student will be given ample time to orally present their work and therefore be able to fully benefit from direct feedback from the assigned senior researcher mentor and their peers. Furthermore, the students will also present a poster of their PhD work during the poster session of the main conference. Apart from extra feedback, this will also help provide students with new contacts and professional networking opportunities. In addition, the students will work in groups in a Social Good Idea Challenge. The DC is intended for PhD students who have a specific research proposal and some preliminary results, but who have sufficient time prior to completing their dissertation to benefit from the consortium experience. Preference will be given to students satisfying these criteria, but well-motivated applications from students who are at earlier or later stages of their doctoral studies will also be considered. Program Format: It is our hope to hold the DC program in person and host our attendees at the conference venue. However, we are aware of the ongoing global public health situation and will be considering any safety protocols in place at the time when implementing the DC program. As such, we are also planning the possibility of running the DC program as a partly or fully virtual event. SUBMISSION PROCEDURE: The submission package should include the following items in one single pdf file: * A cover sheet containing: the student's name, email address, homepage, university affiliation, gender, citizenship, PhD start date, expected graduation date, name and email of PhD supervisor, at least three mentor suggestions (should be chosen from the list of PCs, SPCs, or ACs in (this year and past) AAMAS and related conferences, for example, the list of PCs, SPCs, and ACs for AAMAS can be found on current and previous AAMAS conference webpages. * A 1-page letter of support from the supervisor. * A 2-page (short) CV that includes the list of publications of the student. * A 2-page extended abstract of the student's thesis or thesis topic (in AAMAS submission format) * A 1-page personal statement citing around five favorite papers in the field and briefly describing how they influenced the students' work. Applications should be submitted via easychair [Link [1] or https://easychair.org/conferences/?conf=aamas2022dc [1]]. The selection process will consider the quality of the submitted proposal and the stage of the student's PhD project. Doctoral students who submit to the DC are encouraged to submit papers to the associated workshops. Important: All students, including DC applicants, should apply for student scholarships separately on the scholarship website. While acceptance to the DC may play a role in scholarship decisions, those decisions are made by the scholarship chairs and are subject to available funding support. AAMAS will be hosting a list of diversity and inclusion activities. We strongly encourage everyone to participate in these activities as well as other conference activities (which will be decided at a later date). For any questions, please contact the doctoral consortium co-chairs. ORGANIZERS: Hau Chan (University of Nebraska-Lincoln, United States) Stacy Marsella (Northeastern University, United States) Links: ------ [1] https://easychair.org/conferences/?conf=aamas2022dc

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[RoboCup 2022] RoboCup@Work Call for Participation
by Asad Norouzi 03 Jan '22

03 Jan '22

*Apologies for duplicate messages*Call for Applications for Participation RoboCup 2022 - RoboCup at Work https://2022.robocup.org Venue: Bangkok, Thailand Monday July 11th through Sunday July 17th 2022 RoboCup at Work: Competing for the Factory of the Future RoboCup at Work is a league and competition in RoboCup that targets the use of robots in work-related, industrial scenarios. It aims to foster research and development that enables the use of innovative mobile robots equipped with advanced manipulators for current and future industrial applications, where robots cooperate with human workers for complex tasks ranging from manufacturing, automation, and parts handling up to general logistics. The RoboCup at Work league is characterized by an industrial appealing environment composed of industrial objects such as screws and nuts, shelves, containers, platforms of various sizes, and networked automation devices such as conveyor belts, drilling machines, and others. The actual competition tasks to be performed in the environment are defined in a set of so-called tests. Each test addresses various mobile manipulation capabilities such as grasping, transportation, precision placement, and visual servoing. The full rules of RoboCup at Work as well as further technical details are (will be) posted on the RoboCup at Work website (https://atwork.robocup.org ). Participation in the Competition All teams that intend to participate in the competition have to perform the following steps: 1. Submission of qualification material, including a Team Description Paper and possibly additional material like videos or drawings 2. Final registration (qualified teams only) Qualification The qualification process serves a dual purpose: It should allow the Technical Committee to assess the safety of the robots a team intends to bring to the competition, and it should allow to rank teams according to a set of evaluation criteria in order to select the most promising teams for a competition, if not all interested teams can be permitted. The TC will select the qualified teams according to the qualification material provided by the teams. The evaluation criteria will include: - Team description paper - Relevant scientific contribution/publications - The professional quality of robot and software - Novelty of approach - Relevance to industry - Performance in previous competitions - Contribution to RoboCup at Work league, e.g. by -- Organization of events -- Provision and sharing of knowledge - Team website Team Description Paper The Team Description Paper (TDP) is a central element of the qualification process and has to be provided by each team as part of the qualification process. The TDP should at least contain the following information in the author/title section of the paper: - Name of the team (title) - Team members (authors), including the team leader - Link to the team web site - Contact information - The body of the TDP should contain information on the following: -- focus of research/research interest -- a description of the hardware, including an image of the robot(s) -- a description of the software, esp. the functional and software architectures -- innovative technology (if any) -- reusability of the system or parts thereof -- applicability and relevance to industrial tasks -- usage of components (software or hardware) developed by other RoboCup at Work teams The team description paper should cover in detail the technical and scientific approach, while the team website should be designed for a broader audience. Both the website and the TDP have to be written in English. All TDPs must be written using the following template: https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer… Submission and Evaluation All applications with the qualification material must be submitted by January 23rd, 2022 through the following online form: https://forms.gle/huZvNVCbZ6zraAB97 Qualified teams will be tentatively announced by February 1st, 2022. Best Regards, On behalf of The RoboCup@Work Committee

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CFP: RoboCup 2022 Soccer Simulation 2D League
by Nader Zare 29 Dec '21

29 Dec '21

Call for Participation RoboCup 2022 Soccer Simulation 2D League July 11 – July 17, 2022 Bangkok, Thailand https://2022.robocup.org/ We would like to invite you to participate in the RoboCup 2022 Soccer Simulation League 2D competition, which will take place July 11 - 17 2022, in Bangkok, Thailand. If you are interested in participating, please pre-register your team, and then submit qualification materials. Please see below in detail. Important Dates -Pre-registration Deadline: Feb 1, 2022 – 23:59 UTC ----Submit information via the online form: https://forms.gle/tKyVA2YXQGLZgt1T7 -Qualification Materials Submission Deadline: Feb 15, 2022 – 23:59 UTC ----Submit TDP, Log files via the online form: https://forms.gle/s3JmVW8JwuVV4pDx9 ----Submit a part of the documentation of the soccer server by Pull Request on GitHub. -Qualification Notification: March 1, 2022 To view the full Call for Participation document, please visit: https://docs.google.com/document/d/1y3QxyKUvmJw4V74TQga5wpFP2j41_VG-z16zb-j… Best Regards RoboCup2022 Soccer Simulation 2D League Organizing Committee Nader Zare, Morteza Noohpisheh

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[reminder] Survey about domestic robot competitions, in particular RoboCup@Home
by Alex Mitrevski 26 Dec '21

26 Dec '21

Dear RoboCup community, This is just a reminder that our survey about domestic robot competitions will remain open for only a few more days. If you would like to contribute towards shaping the RoboCup@Home competition, please take a few minutes to share your ideas (link to the survey below). Thanks in advance, and a big thanks to everyone who has already answered the survey! Best regards, Alex Mitrevski on behalf of the RoboCup@Home Technical Committee ------------------------------------------------------------------------------------------------------------------ Dear RoboCup community, As part of the preparations for the rule book for next year's RoboCup@Home <https://athome.robocup.org> competition, which will take place in Bangkok, Thailand in 2022, we would like toimprove the competition tasks so that they serve the robotics research community better. We all know the transformative effect that various competitions in the computer vision community have had on our field; we hope that RoboCup@Home can have the same effect for domestic service and social robots. To make this possible, we need a collective effort from the community. We would, in particular, like to identify (i) research areas that are considered important by those of you working in the umbrella domain of "domestic service and social robots" as well as (ii) aspects that you, the community, consider important for a competition of this type to be valuable for your research activities. For this, we would be very much obliged if you could take a few minutes of your time to answer a short /anonymous/ survey about domestic robot competitions until 23:59 CET on December 30th, 2021. The link to the survey is https://forms.gle/DuNzPVKd5c41DRxq7 <https://forms.gle/DuNzPVKd5c41DRxq7> Please note that this survey is open to everyone, regardless of whether you are currently participating in RoboCup@Home or similar competitions; we would be particularly happy if the competition can attract researchers and groups which are currently not participating. Thanks in advance for your time and insights. ----------------------------------------------------------------------------------------------------------------------- Alex Mitrevski Research Associate Room: C201 Email: aleksandar.mitrevski(a)h-brs.de Phone: +49-2241-865-206 Web: https://www.h-brs.de/en/inf/aleksandar-mitrevski Autonomous Systems Group Hochschule Bonn-Rhein-Sieg Computer Science Department Grantham-Allee 20 53757 Sankt Augustin, Germany ----------------------------------------------------------------------------------------------------------------------

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Call for Papers: 19th EUROPEAN CONFERENCE ON MULTI-AGENT SYSTEMS (EUMAS-2022)
by Jörg-Matthias Rothe 22 Dec '21

22 Dec '21

*********************************************** 19th EUROPEAN CONFERENCE ON MULTI-AGENT SYSTEMS (EUMAS-2022) September 14 - 16, 2022, Heinrich-Heine-Universität Düsseldorf https://ccc.cs.hhu.de/eumas2022/ *********************************************** ------------------------------------ IMPORTANT DATES ------------------------------------ - Deadline for paper submission: May 6, 2022 - Notification of authors: July 15, 2022 - Camera-ready papers due: August 12, 2022 - Conference: September 14 - 16, 2022 All deadlines are at 23:59 UTC-12, i.e., while it is still the respective date anywhere on earth. Submission instructions: https://ccc.cs.hhu.de/eumas2022/ ------------------------------------ AIMS AND SCOPE ------------------------------------ In the past two decades, we have seen an enormous increase of interest in agent-based computing and multi-agent systems (MAS). This field is set to become one of the key intelligent systems technologies in the 21st century. The EUMAS conference series aims to provide the main forum for academics and practitioners in Europe to discuss current MAS research and applications. EUMAS-2022, the 19th installment of the conference series, follows the tradition of previous editions (Oxford 2003, Barcelona 2004, Brussels 2005, Lisbon 2006, Hammamet 2007, Bath 2008, Agia Napa 2009, Paris 2010, Maastricht 2011, Dublin 2012, Toulouse 2013, Prague 2014, Athens 2015, Valencia 2016, Evry 2017, Bergen 2018, Thessaloniki 2019, Virtual 2020), and encourages and supports activity in the research and development of multi-agent systems, in academic and industrial efforts. The conference aspires to be the primary European forum for researchers interested in the theory and practice of autonomous agents and multi-agent systems. EUMAS enables researchers to meet, present challenges, preliminary and mature research results in an open and informal environment. To attract students as well as experienced researchers, preliminary as well as mature work, EUMAS 2021 offers three submission types and formal proceedings. Also, we will be working hard to arrange for the post-publication of selected papers in the form of a special issue of a high-quality journal in the area. EUMAS-2022 is a designated event of the European Association of Multi-Agent Systems (EURAMAS): http://www.euramas.org <http://www.euramas.org/> Topics of interest include but are not limited to: - Action and Planning - Adaptation and Learning - Agent Architectures - Agent Programming Languages - Agent Development Methodologies and Tools - Agent-Based Simulations and Modeling - Agent Organizations and Institutions - Agent-Oriented Software Engineering - Agents and Complex Systems - Applications of Multi-Agent Systems - Argumentation - Automated Negotiation - Biologically Inspired Approaches - Cognitive Models - Collective and Swarm Intelligence - Collective Intentionality - Communication, Cooperation, and Coordination - Deep Reinforcement Learning in Multi-Agent Domains - Economic Models - Electronic Commerce - Ethical Behaviour of Multi-Agent Systems - Formal Modeling - Game-Theoretic Methods - Logics for Multi-Agent Systems - Logics for Strategic Reasoning - Machine Learning for Multi-Agent Systems - Multi-Agent Learning - Multi-Robot Systems - Negotiation - Self-Organization - Semantic Web Agents - Socio-Technical Systems - Theories of Agency - Trust and Reputation - Verification - Virtual Agents - Voting and Judgment Aggregation Models for Multi-Agent Systems - Computational Social Choice - Social Networks - Human-Agent Interaction ------------------------------------ SUBMISSIONS ------------------------------------ EUMAS-2022 welcomes original, unpublished papers. Papers submitted shall describe original work that has not been published or accepted for publication, nor is currently under review by another conference or journal (it might be on arXiv or a similar preprint server, though). NEW! Papers rejected from AAMAS, AAAI, or IJCAI will be fast-tracked given that their original reviews and an authors' cover letter (indicating all changes made) will be submitted. Extended abstracts from AAMAS also qualify for this fast track. Each submission will be peer-reviewed in a double-blind fashion. All submissions should be formatted according to Springer's LNCS format and contain at most 15 pages, plus any number of additional pages for bibliography and, if needed, a clearly marked appendix. For templates and instructions for authors, see http://www.springer.de/comp/lncs/authors.html. Authors must submit their abstracts and papers through the EUMAS-2022 Easychair submission site https://easychair.org/conferences/?conf=eumas2022. EUMAS-2022 accepted papers will be published by Springer in an LNCS/LNAI volume. As such, they will be made available to several indexing services (including Scopus, Google Scholar, DBLP, CPCI, EI Engineering Index, and more). Authors should consult Springer's author guidelines and use their proceedings templates, either for LaTeX (preferred) or for Word (if need be), for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. We urge the authors to follow these guidelines from the submission stage already. Additional guidelines will be communicated after the conference to the authors of accepted papers for the preparation of the final versions to be included in the post-proceedings. ------------------------------------ Opportunity for a JAAMAS publication ------------------------------------ This year, the Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) will provide the opportunity for revised and extended versions of the EUMAS-2022 best paper award winner (see below) and the EUMAS-2022 best paper award runner-up to be fast-tracked for the journal. ----------------------------------------------------------- Opportunity to publish revised and extended papers in SN CS ----------------------------------------------------------- A selection of EUMAS-2022 papers will be invited to submit revised and extended versions for publication in a special issue of the Springer Nature Computer Science journal. ------------------------------------ Best Paper Award ------------------------------------ A Best Paper Award will be presented at the conference. ------------------------------------ Keynote Speakers ------------------------------------ Prof. Marija Slavkovik (University of Bergen) [TBA] ------------------------------------ DOCTORAL CONSORTIUM ------------------------------------ There will be a doctoral consortium day prior to the conference where PhD students can present the topics related to MAS they are currently working on. Keynote Speaker for the PhD Day (September 14, 2022): Piotr Faliszewski (AGH University of Science and Technology Kraków) Organizers of the PhD Day: Linus Boes (HHU Düsseldorf) Christian Laußmann (HHU Düsseldorf) ------------------------------------ CONFERENCE CHAIRS ------------------------------------ Dorothea Baumeister (HHU Düsseldorf) Jörg Rothe (HHU Düsseldorf) ------------------------------------ PROGRAM COMMITTEE ------------------------------------ https://ccc.cs.hhu.de/eumas2022/ ------------------------------------ CONTACT DETAILS ------------------------------------ EUMAS-2022 Organizing Committee: eumas2022(a)cs.hhu.de

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Call for proposals: RCF Project Support 2022
by Gerald Steinbauer-Wagner 20 Dec '21

20 Dec '21

Call for proposals: RCF Project Support 2022 The RoboCup Federation (RCF) is pleased to announce this call for proposals to support activities for promoting the development of RoboCup Leagues. RCF Project Support aims at funding activities for the development of the RoboCup Leagues or the promotion of RoboCup in general. The main goal of these projects is to research and develop activities that support significant advancements of the RoboCup leagues and/or the RoboCup community which are difficult to achieve otherwise. This includes support for short-term visits for a collaboration between teams (e.g. joint team development, integration of research agendas) and/or RoboCup camps on special or novel topics. This year the RCF particularly encourages proposals in the following areas: * Human-Robot-Interaction (HRI), any type interaction of a human with a robot within one of the RoboCup leagues * Low-Cost Standard Robots, any ideas to lower the entry bar to a RoboCup league or to allow to scale the number of robots in a team * Unified Game Controllers, development of game controllers that can be shared between RoboCup leagues easily and with minor re-configuration * Data Sets from Competitions, any concept for automated collecting and annotating data (i.e. ground truth) from competitions in order to support statistical analysis or machine learning Support Support will be provided in the form of reimbursement upon receipts of direct expenses (e.g., hardware devices or costs for organization of events) or of a grant for the applicants. In case of hardware acquisition, it must be specified how the league (e.g. other teams) will benefit from this hardware. A detailed list of expenses must be described in the proposal. Funds from RCF are limited, partial funding may be also considered. Submission A single PDF file should be submitted through the easychair system https://easychair.org/conferences/?conf=rcfsupport2022 under the Category: Projects for League Developments The proposal (MAX 4 pages) must include: 1. description of the project, 2. motivations and goals, 3. benefits for RoboCup and RoboCup leagues (not for a single or a few teams), 4. implementation plan and budget. Evaluation Application materials will be evaluated by a committee of RoboCup Trustees or RoboCup Exec members. The evaluation of the proposals will be based on (i) the quality of the proposed research; (ii) the research contributions of the applicants, particularly in relation to RoboCup; and (iii) the impact of the proposed plan on the advancement and visibility of RoboCup (e.g. high ranked publications). A limited number of awards is expected to be assigned. Deadlines Submission Deadline: January 30th, 2022 Notification: February 8th, 2022 Completion of the project: Preliminary work expected to be presented during the RoboCup Symposium 2022, the project needs to be finished by end of 2022 and a final report submitted by January 2023. Exceptions to this rule must be submitted for approval to the evaluation committee.

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Call for proposals: RCF and MathWorks Support for Research Projects 2022
by Gerald Steinbauer-Wagner 20 Dec '21

20 Dec '21

Call for proposals: RCF and MathWorks Support for Research Projects 2022 The RoboCup Federation (RCF) and MathWorks, a Global Sponsor of RoboCup, are pleased to announce this call for proposals to support research projects in RoboCup. RCF-MathWorks Support for Research Projects 2022 aims at funding robotics research projects that use MATLAB and Simulink software. The goal is to enable collaboration between RoboCup researchers and MathWorks engineers to foster progress of RoboCup and its leagues. The RoboCup Federation and MathWorks hosted a webinar to discuss the details of the call, describe expected results and MathWorks tools, showcase previously sponsored projects, and answer questions. Link to the webinar: https://youtu.be/znZSFBWAWhg For more info or clarification on the details of this call, please contact info(a)robocup.org Proposal Requirements Proposals in this category must meet *ALL* of the following requirements: 1. Work must be associated with one or more of the research topics listed below. 2. Work must primarily utilize MathWorks software such as MATLAB, Simulink, Stateflow, and other add-on products. Preference may be given if using one or more of the development methods listed below. 3. Project team will be assigned MathWorks contacts, and must arrange and participate in at least 3 progress check-in meetings with them during the course of the project. The team is encouraged to reach out to their MathWorks contacts whenever they have questions. 4. Final deliverables shall be posted publicly after review by MathWorks contacts. Research Topics 1. Navigation and Planning a. Motion Planning for Manipulators and Mobile Robots b. Motion planning for humanoid robots c. Collision avoidance 2. Perception and Sensor Fusion a. Object detection and tracking b. Lidar and vision-based SLAM c. Point cloud processing d. Fusing IMU with other sensors for localization and state estimation 3. Control systems a. Control of humanoid robots b. Hybrid systems and behavior c. Multi-agent systems d. Robot Manipulation and Grasping 4. Human-Robot Interaction a. Natural language processing b. Signal and audio processing NOTE: teams are encouraged to apply machine learning techniques (deep learning, reinforcement learning, etc.) toward these research topics Development Methods 1. Development Tools a. User interfaces and Web applications b. Hardware initialization and calibration tools 2. Modeling and simulation a. Model-based design of software components b. Physical system simulation and design c. Behavior modeling: finite-state machines, behavior trees, etc. d. Multi-agent simulation 3. Embedded systems a. Implementation to reduce memory, power consumption, etc. b. Targeting microcontrollers, FPGAs, and GPUs c. Real-time and hardware-in-the-loop simulation 4. Interfaces to standard platforms a. Robots, e.g., Toyota, SoftBank, FESTO b. Software frameworks, e.g., ROS Support Support will be given as a gift between 5,000 and 10,000 USD depending on quantity and quality of accepted proposals in this category. Teams will be notified of the exact amount awarded upon their proposal being accepted. Funding will be provided directly by RCF after the RoboCup Symposium 2022 if the research and deliverables are completed in a satisfactory manner. Submission A single PDF file should be submitted through the easychair system https://easychair.org/conferences/?conf=rcfsupport2022 under the Category: RCF and MathWorks Support for Research Projects 2022 The proposal (MAX 6 pages) must include: 1. description of the project, 2. motivations and goals, 3. intended use of MATLAB and/or Simulink software, 4. benefits for RoboCup and for the RoboCup League (not for a single or a few teams), 5. implementation plan and budget. Evaluation Application materials will be evaluated by a committee of RoboCup Trustees and MathWorks engineers. The evaluation of the proposals will be based on (i) the quality of the proposed research; (ii) the research contributions of the applicants, particularly in relation to RoboCup; (iii) the usage of MATLAB and/or Simulink software; and (iv) the impact of the proposed plan on the advancement and visibility of RoboCup. A limited number of awards is expected to be assigned. Deadlines Submission Deadline: January 30th, 2022 Notification: February 8th, 2022 Completion of the action: Preliminary work expected to be presented during the RoboCup 2022 Research Symposium, and official content publication by October 2022 Exceptions to this rule must be submitted for approval to the evaluation committee. ** For more information about the call for projects, please contact: info [at] robocup.org **

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ISAIM-2022: Call for Participation
by Diochnos, Dimitrios 17 Dec '21

17 Dec '21

CALL FOR PARTICIPATION Seventeenth International Symposium on ARTIFICIAL INTELLIGENCE and MATHEMATICS ISAIM 2022 http://isaim2022.cs.ou.edu/ January 3-5, 2022 Online via Zoom (Fort Lauderdale, Florida) Registration is free and required in advance Zoom links will be sent by email several days before the symposium The International Symposium on Artificial Intelligence and Mathematics (ISAIM), is a biennial meeting that fosters interactions between mathematics, theoretical computer science, and artificial intelligence. This will be the seventeenth Symposium in the series, sponsored by Florida Atlantic University and the Annals of Mathematics and Artificial Intelligence. Due to the pandemic the three-day Symposium will take place online. ISAIM-2022 will feature invited speakers, special topic sessions, and a special event: an interview of Judea Pearl by Stephen Wolfram. Registration is free but you need to register in advance so that you can get the Zoom links in a timely manner. KEYNOTE SPEAKERS: o Noa Agmon (Bar-Ilan University) o Cynthia Dwork (Harvard University) o Jerome Lang (LAMSADE, CNRS, Universite Paris-Dauphine, PSL) o Arun Ross (Michigan State University) o Ohad Shamir (Weizmann Institute of Science) o Noam Slonim (IBM Research AI) o Noga Zaslavsky (MIT) SPECIAL EVENT: o Judea Pearl 85th Birthday Celebration -Interview of Judea Pearl by Stephen Wolfram SPECIAL TOPIC INVITED SESSIONS: o In Memory of Naftali Tishby -Organized by Martin Golumbic (University of Haifa) o Boolean and pseudo-Boolean Functions -Organized by Endre Boros (Rutgers University) and Yves Crama (University of Liege) o Coalition Formation Games -Organized by Judy Goldsmith (University of Kentucky) and Joerg Rothe (Heinrich-Heine-Universitat Dusseldorf) o Combinatorial and Geometric Problems in Imaging Sciences -Organized by Valentin Brimkov (Buffalo State College) o Formalization in Mathematics -Organized by Gonzalo A. Aranda-Corral (Universidad de Sevilla) and Francisco Jesus Martin Mateos (Universidad de Sevilla) o Sequencing, sequential decision making and scheduling -Organized by Lisa Hellerstein (New York University) and Thomas Lidbetter (Rutgers University) o Uncertain Reasoning -Organized by Alessandro Antonucci (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale - IDSIA), Salem Benferhat (University of Artois), and Kamal Premaratne (University of Miami) ORGANIZERS: o General Chair: Martin Charles Golumbic, University of Haifa o Conference Chair: Frederick Hoffman, Florida Atlantic University o Publications & Publicity Chair: Dimitrios I. Diochnos, University of Oklahoma REGISTRATION: o Registration is free and required in advance -Zoom links will be sent by email several days before the symposium -Visit https://isaim2022.cs.ou.edu/registration.html Send inquiries and requests to <isaim2022 AT cs.ou.edu>. Visit http://isaim2022.cs.ou.edu/. Join isaim(a)googlegroups.com to receive announcements related to ISAIM.

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[jobs][extended deadline] Two tenured positions in Autonomous Systems at Bonn-Rhein-Sieg University of Applied Sciences
by Alex Mitrevski 17 Dec '21

17 Dec '21

Dear roboticists, Please note that the application deadline for the positions below has been extended to January 12th, 2022. Regards, Nico Hochgeschwender ------------------------------ Dear roboticists, The Department of Computer Science at Bonn-Rhein-Sieg University of Applied Sciences (Sankt Augustin Campus), together with the Bonn-Aachen International Centre for Information Technology (b-it), has the following two permanent professorships (W2) for Computer Science, in particular in Autonomous Systems: 1. Mathematical foundations of autonomous systems 2. Industry-relevant and application-related aspects of autonomous systems. The two position are to be filled as soon as possible. We expect applicants for both positions to meet the following requirements: * the employment requirements of §36 HG NRW, in particular three years of professional experience outside of higher education institutions, * very good knowledge of English, as well as the ability and willingness to teach in English, * pedagogical and didactic skills in teaching complex learning content, * willingness to participate in activities within the university, as well as national and international committees, * experience in the acquisition, establishment and implementation of internal and externally funded research and development projects, * active participation in the further development and expansion of the MAS program. In addition, the following criteria would be desirable: * teaching experience at universities or comparable institutions, * willingness to also teach undergraduate courses that correspond to the topics of the call for applications, * willingness for interdisciplinary cooperation with other institutions within and outside the university, * evidence of international collaborations and networking with the professional community, * willingness to conduct courses and examinations in German. More detailed information can be found at: 1. Mathematical foundations of autonomous systems: https://stellen.h-brs.de/jobposting/dcdfdd50800036e2492311716a44c03b81a1583… <https://stellen.h-brs.de/jobposting/dcdfdd50800036e2492311716a44c03b81a1583…> 2. Industry-relevant and application-related aspects of autonomous systems: https://stellen.h-brs.de/jobposting/0adf13b597c4a2f154f856c2fcaf65311ffeb2c… <https://stellen.h-brs.de/jobposting/0adf13b597c4a2f154f856c2fcaf65311ffeb2c…> We would like to see more female scientists at our university and are therefore particularly pleased to receive applications from women. We welcome applicants with children. H-BRS is a certified family-friendly university - and proud of it. People with severe disabilities are part of our university. We give them preference in the application process if their qualifications are equal. The position is suitable for part-time work. For information about the professorship to be filled, please contact the head of the appointment committee Prof. Dr. Nico Hochgeschwender (nico.hochgeschwender(a)h-brs.de <mailto:nico.hochgeschwender@h-brs.de>). In addition, the Equal Opportunity Officer of the H-BRS, Dr. Barbara Hillen, is also happy to assist you (www.h-brs.de/de/gi/barbara-hillen <https://www.h-brs.de/de/gi/barbara-hillen>). Regards, Nico Hochgeschwender **************************************************************************************** Prof. Dr. Nico Hochgeschwender Professor of Autonomous Systems B-IT Bonn-Aachen International Center of Information Technology Fon: +49-2241-865-9634 Bonn-Rhein-Sieg University oAS Fax: +49-2241-865-8293 Computer Science Department Net: nico.hochgeschwender(a)h-brs.de Grantham-Allee 20 53757 Sankt Augustin, Germany Web: http://www.h-brs.de/de/inf/nico-hochgeschwender Twitter: @nico_roboticist **************************************************************************************** International Master Program on Autonomous Systems https://www.h-brs.de/en/inf/autonomous-systems-msc ****************************************************************************************

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