February 2022 - RoboCup-worldwide

Call for Papers ICARSC'2022 - International Conference on Autonomous Robot Systems and Competitions
by Pedro Neto 03 Feb '22

03 Feb '22

[Our apologies if you receive multiple copies of this announcement] ---------------------------------------------------------------------------- -- Call for Papers ICARSC'2022 - IEEE(*) International Conference on Autonomous Robot Systems and Competitions <https://festivalnacionalrobotica.pt/icarsc/> https://festivalnacionalrobotica.pt/icarsc/ / April 29-30, Santa Maria da Feira Portugal (*) IEEE co-sponsorship pending approval ---------------------------------------------------------------------------- -- Dear colleague We are pleased to inform you that ICARSC2022 IEEE(*) International Conference on Autonomous Robot Systems and Competitions will be held in Santa Maria da Feira, Portugal, on April 29-30, 2022. The conference is organized within ROBOTICA 2022 - 22nd Portuguese Robotics Open, a RoboCup-sponsored local event, and it is promoted by the Portuguese Robotics Society. (*) IEEE co-sponsorship pending approval == Conference Scope == ICARSC gathers participants from academia and industry working in the field of autonomous robotics and related areas. ICARSC is a well-established IEEE conference that has been growing continuously for over a decade and is nowadays a truly international forum attracting worldwide quality research papers. ICARSC has long been an IEEE co-sponsored event and its proceedings are indexed in IEEExplore and Scopus. Moreover, similarly to previous editions, extended versions of selected best papers will be invited for publication at relevant indexed journals. == Invited Speakers == George Nikolakopoulos, Luleå University of Technology, Sweden Jorge Dias, Khalifa University, Abu Dhabi, UAE == Important Dates == Submission Feb 21, 2022 Notification Mar 22, 2022 Camera Ready Mar 29, 2022 Registration Apr 14, 2022 Conference Apr 29-30, 2022 == Conference Topics == The conference aims to gather researchers from the industry and academia to present and discuss the latest trends in research and technology in the fields of robotics and related areas. Contributions from researchers, industry, and outputs from collaboration between industrial and academic R&D units are welcome in, but not limited to, the following topics. - Agricultural Robotics - Applications of Autonomous Intelligent Robots - Artificial Intelligence - Autonomous Robotic Systems - Computer Vision and Image Processing - Control Architectures and Programming - Cooperative Perception - Cooperative Planning and Task Allocation - Dexterous Manipulation and Grasping - Educational Robotics - Entertainment Robots - Evolutionary Robotics - Humanoid Robotics - Human-Robot Interaction - Localization, Mapping, and Navigation - Locomotion and Actuation Systems - Multi-Robot Coordination - Multi-Robot Systems - Planning, Reasoning and Modelling - Recognition and Tracking - Robot Learning - Robotic Competitions - Robotic Simulation - Sensors and Sensor Integration - Swarm Robotics - Space Robotics - Underwater Robotics == Paper Submission == Authors are invited to submit original research contributions in English. Six pages in the standard IEEE format ( <http://www.ieee.org/conferences_events/conferences/publishing/templates.htm l> http://www.ieee.org/conferences_events/conferences/publishing/templates.html ) are allowed for each paper, including tables and figures. Full draft papers should be submitted electronically, in PDF format, using the URL: <https://easychair.org/conferences/?conf=icarsc2022> https://easychair.org/conferences/?conf=icarsc2022. For evaluation purposes, authors must remove their names from the submitted papers, and should take reasonable care not to indirectly disclose their identity. Accepted papers will be scheduled for presentation, which requires that at least one of the authors should register at the Conference and present the paper. If the authors of an accepted paper do not show up at the conference, the corresponding paper will not be submitted to IEEExplore. == ICARSC2022 General/Program Chairs == Pedro Fonseca, University of Aveiro, Portugal Rodrigo Ventura, Instituto Superior Técnico, Portugal Luís Louro, University of Minho, Portugal Pedro Neto, University of Coimbra, Portugal

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Final Call for proposals: RCF and MathWorks Support for Research Projects 2022
by Gerald Steinbauer-Wagner 02 Feb '22

02 Feb '22

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: February 6th, 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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Final Call for proposals: RCF Project Support 2022
by Gerald Steinbauer-Wagner 02 Feb '22

02 Feb '22

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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Neural Computing and Applications (NCAA) - Call for Topical Collectionon (Deadline March 31, 2022)
by Pub Conference 01 Feb '22

01 Feb '22

Neural Computing and Applications <https://www.springer.com/journal/521/> Topical Collection on Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization https://www.springer.com/journal/521/updates/19187658 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). 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. Authors should select “TC: Interpretation of Deep Learning” during the submission step ‘Additional Information’.

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