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2022 European RoboCupJunior @home education
by April Foster 11 May '22

11 May '22

European RoboCupJunior 2022 - @home education Registration is Open RoboCup@Home Education is a special education program to support new teams in the context of a simplified RoboCup@Home competition. It is oriented to help form new teams and prepare them for the main competitions. Please visit the official website for more information on: https://2022.robocupjunior.eu/leagues/others/home-education/ You can contact us via email: home_edu(a)2022.robocupjunior.eu 1 - 4 June 2022 Guimarães, Portugal Details about registration (fee, accommodation, rules) are available on the website. https://2022.robocupjunior.eu/register-team/ VENUE Pavilhão Multiusos - Guimarães Alameda Cidade de Lisboa 481, Guimarães (Portugal) GPS: 41.4354604427687, -8.306253820680457 AIM RoboCup@Home Education is an educational initiative that promotes educational efforts to promote access to modern technologies such as computer vision, speech understanding, or machine learning and to boost RoboCup@Home participation and service robot development. The aim is to narrow the technological gap between RoboCupJunior and RoboCup Major leagues. RoboCup@Home Education activities started in 2015 with various workshops and competitions around the globe. The workshop audiences range from inexperienced high school students to freshmen in engineering programs at the university level. In order to provide a soft start, the competitions are blended with preparation workshops. Teams will be assisted remotely in preparation for the challenge with tutorials (possibly webinars) and assignments. CATEGORIES There are two types of robot platforms in the Education Challenge: Open Platform (OP) and Standard Platform (SP). Teams in Open Platform use custom build robots for the challenge events. The challenge’s development focus is on both hardware and software designs. Teams in Standard Platform use a standardized robot platform - Pepper robot from SoftBank Robotics in the challenge events. The development focus is mainly on software design. For more details and competition rules, please visit http://www.robocupathomeedu.org

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2022 European RoboCup Middle Size League Championship
by April Foster 11 May '22

11 May '22

European RoboCup Middle Size League Championship 2022 Registration is Open https://2022.robocupjunior.eu 1 - 4 June 2022 Guimarães, Portugal (Multiusos de Guimarães - GPS: 41.43547511153526, -8.3062854116528) Registration closes on *** 23 May 2022 ***. Details about registration (fee, accommodation, rules) are available on the website. https://2022.robocupjunior.eu/register-team/ Visit us at: https://2022.robocupjunior.eu/leagues/european-msl-championship/ League Chair - Vitor Pinto (vitorpinto(a)fe.up.pt) ------------ Important dates ----------------------------------- 23.05.2022 Registration deadline - names, team, registration fee 01.06.2022 Set-up day 02.06.2022 Competition day (open to the public) 03.06.2022 Competition day (open to the public) 04.06.2022 Competition day, finals (open to the public) Please contact info(a)2022.robocupjunior.eu for any questions. See you all in Portugal at the European RoboCup Middle Size League Championship 2022. Organized by: Botnroll, University of Minho, Guimarães City Council, Laboratory of Automation and Robotics

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3-year-Research-Position: Human Robot Interaction in robotics systems for table-grape harvesting and pruning
by Luca Iocchi 02 May '22

02 May '22

3-year research position, DIAG, Sapienza University, Rome Human Robot Interaction in robotics systems for table-grape harvesting and pruning The position is funded by the CANOPIES project (https://canopies.inf.uniroma3.it), with the scientific objectiveofdevelopingnovel human-robot interaction (HRI) methodologies for implementing an effective collaborative paradigm between human workers and multi-robot teams for the precision farming of permanents crops in the context of the table-grape vineyards.Specifically, this position aims at the development ofa multi-modal interactionframeworkand of a novel approach to keep a shared mental statesupporting the interaction.We address human-robot interaction by considering both implicit and explicit communicationand the evaluationof the effectiveness of different communication modes in the agricultural contextrelies on a novel virtual environment developed within CANOPIES. The research group working on the CANOPIES project at Sapienza has a strong focus and expertise in HRI and there will be opportunities for the development of fundamental research on AI approaches to HRI. The call is in Italian (deadline May 5th) https://web.uniroma1.it/trasparenza/bando/188890_1/2022 for information contact: nardi(a)diag.uniroma1.it

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Fwd: CFP - LARS-SBR 2022
by Marco Simões 30 Apr '22

30 Apr '22

* Apologies for cross-postings * ======================================================== CFP: Call for Papers - LARS/SBR 2022 São Bernardo do Campo, Brazil - October 2022 http://fei.edu.br/robotica http://www.robotica.org.br/ <https://ddec1-0-en-ctp.trendmicro.com:443/wis/clicktime/v1/query?url=http%3…> ======================================================== IEEE LARS 2022 - 19th Latin American Robotics Symposium SBR 2022 - 14th Brazilian Robotics Symposium The IEEE LARS and SBR (Latin American Robotics Symposium / Brazilian Robotics Symposium) aim at promoting a comprehensive scientific meeting in the area of Intelligent Robotics, bringing together researchers, undergraduate and graduate students of Computer Science, Electrical Engineering, Mechatronics Engineering, Computer Engineering, and related fields. The event will include technical sessions of an oral presentation of full papers and technical lectures of recognized importance in the area. LARS/SBR will take place in São Bernardo do Campo, São Paulo, Brazil from October 18th to 21st, 2022. * TOPICS OF INTEREST * 1. Vision in robotics and automation; 2. Symbol mediated robot behavior control; 3. Sensory mediated robot behavior control; 4. Active sensory processing and control; 5. Industrial applications of autonomous systems; 6. Sensor modeling and data interpretation e.g. models and software for sensor data integration, 3D scene analysis, environment description and modeling, pattern recognition; 7. Robust techniques in AI and sensing e.g. uncertainty modeling, graceful degradation of systems; 8. Robot programming e.g. on-line and off-line programming, discrete event dynamical systems, fuzzy logic; 9. Multi-Robot and Multi-Agents, Cooperation and Collaboration; 10. CAD-based robotics e.g. CAD-based vision, reverse engineering; 11. Robot simulation and visualization tools; 12. Tele-operated and autonomous systems; 13. Microelectromechanical robots; 14. Robot modeling; 15. Robot control architectures; 16. Sensor-Motor control of Robots; 17. Robot planning, reasoning, communication, adaptation, and learning; 18. Mechanical design; 19. Robotic Manipulators; 20. Robot soccer; 21. Evolutionary robotics; 22. Bio-Inspired robotics; 23. Robots for robotic surgery and rehabilitation; 24. Micro/nano-robotics, new Devices, and materials for robots; 25. Human-Robot Interaction and Interfaces; 26. Education issues in Robotics; 27. Computing architectures; 28. Sensor Networks, architectures of embedded Hardware and software; 29. Self-Localization, Mapping and Navigation; 30. Multi-robot systems; 31. Aerial vehicles; 32. Autonomous vehicles; 33. Mobile robot platforms; 34. Service robots and entertainment robots; 35. Underwater robots; 36. Humanoids. * ORGANIZATION * Chair: Prof. Dr. Reinaldo Augusto da Costa Bianchi - FEI * TECHNICAL PROGRAM * Chair: Prof. Dr. Bruno Marques Ferreira da Silva - UFRN Co-chair: Prof. Dr. Thiago Pedro Donadon Homem - IFSP * PROCEEDINGS * Accepted papers will be available at IEEE Xplore. A selected number of outstanding papers will be invited to submit extended versions to a Special Issue of JINT (Journal of Intelligent & Robotics Systems). * IMPORTANT DATES * Paper registration/submission site open: April 30th, 2022 Paper Submission DEADLINE: July 25th, 2022 Notification of Acceptance: September 12th, 2022 Camera Ready Submission: October 3rd, 2022 -- Prof. Luiz Marcos Garcia Goncalves Natalnet Associate Labs Universidade Federal do Rio Grande do Norte Campus Universitario, 59.078-900, Natal, RN, Brasil -- Você recebeu essa mensagem porque está inscrito no grupo "#somosrobotica" dos Grupos do Google. Para cancelar inscrição nesse grupo e parar de receber e-mails dele, envie um e-mail para somosrobotica+unsubscribe(a)googlegroups.com. Para ver essa discussão na Web, acesse https://groups.google.com/d/msgid/somosrobotica/CAHOVifmwNrsA82W05KBXayWTju… <https://groups.google.com/d/msgid/somosrobotica/CAHOVifmwNrsA82W05KBXayWTju…> . -- Marco Antonio Costa Simões Nucleo de Arquitetura de Computadores e Sistemas Operacionais - ACSO - http://www.acso.uneb.br Bahia Robotics Team - http://www.acso.uneb.br/bahiart Departamento de Ciências Exatas e da Terra - Campus I Universidade do Estado da Bahia - UNEB Mestre em Ciência da Computação - UFPE

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RC Humanoid League Virtual Season: sim2real event
by Alessandra Rossi 25 Apr '22

25 Apr '22

Dear everyone, We are very pleased to share with you the program of the 3-day event focused on sim2real transfer organised to conclude an exceptional RC Humanoid League Virtual Season. The event will be on 28-30 April online using the Zoom platform -> Link We are very pleased of having a great invited speaker from the 3D sim league Marco Simões, and a discussion about common and differences with 3D sim will follow. We will also have a mix of medalists and team presentations, workshops, discussions and a sneak peek to the RC-HL VS behind scenes. The full program is available on our website -> Link Please do not hesitate to contact us for any questions. We are looking forward to engage you in sim2real discussions! Kind regards, Alessandra on behalf of RC-HL Virtual Season organisers Dr. Alessandra Rossi Assistant Professor PRISCA research lab Department of Electrical Engineering and Information Technology University of Naples Federico II, Naples, Italy

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[Meetings] AAMAS-22 Call for Participation
by Sara Bernardini 23 Apr '22

23 Apr '22

Dear Colleagues, AAMAS’22 is in about two weeks! Please don’t forget to register yourself and join the conference. The registration page is here: https://aamas2022-conference.auckland.ac.nz/attending/registration/ Conference: May 9-13, 2022 Because of the sanitary situation and of the procedure to enter New Zealand for foreigners, AAMAS’22 will be a fully online conference. AAMAS (International Conference on Autonomous Agents and Multiagent Systems) is the largest and most influential conference in the area of agents and multiagent systems. The aim of the conference is to bring together researchers and practitioners in all areas of agent technology and to provide a single, high-profile, internationally renowned forum for research in the theory and practice of autonomous agents and multiagent systems. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). The AAMAS conference series was initiated in 2002 in Bologna, Italy, as a joint event comprising the 6th International Conference on Autonomous Agents (AA), the 5th International Conference on Multiagent Systems (ICMAS), and the 9th International Workshop on Agent Theories, Architectures, and Languages (ATAL). The main conference is May 11-13. its program is detailed: https://aamas2022-conference.auckland.ac.nz/program/program-overview/ Workshops, Tutorials and Doctoral Consortium are scheduled on May 9-10. AAMAS’22 features three invited talks by • Shafi Goldwasser (Director of Simons Institute for the Theory of Computing and is a professor at UC Berkeley (EECS), MIT (EECS) and Weizmann Institute (CS, Applied Math)) • Mark Sagar (Co-Founder and CEO of Soul Machines and director of the Laboratory for Animate Technologies at the Auckland Bioengineering Institute) • Johanna Seibt (Professor, Research Unit for Robophilosophy and Integrative Social Robotics, Aarhus University, Denmark) Two other invited talks are also scheduled: • Maria Gini (College of Science & Engineering Distinguished Professor in the Department of Computer Science and Engineering at the University of Minnesota) will give an invited talk on the occasion of receiving the ACM/SIGAI Autonomous Agents Research Award for her work on AI in the field of robotics and multi-agent systems. • Bryan Wilder (Schmidt Science Fellow at Carnegie Mellon University and Harvard School of Public Health) will give an invited talk on the occasion of receiving the Victor Lesser Distinguished Dissertation Award. Best regards, Sara ---- Sara Bernardini Professor of Artificial Intelligence Director of the MSc in Artificial Intelligence Department of Computer Science Royal Holloway University of London Office: Bedford 2-24 Tel.: +44 1784 276792 Web: www.sara-bernardini.com

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Third and final Call for Papers: 19th EUROPEAN CONFERENCE ON MULTI-AGENT SYSTEMS (EUMAS-2022)
by Jörg-Matthias Rothe 20 Apr '22

20 Apr '22

*********************************************** 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 20, 2022 - Notification of authors: July 25, 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! In addition to original research papers, also survey papers are allowed for submission. These should be clearly marked as a "survey paper" in the submission because, when accepted, they will appear in the proceedings in a special survey track. 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 least 12 and at most 16 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) Prof. Carles Sierra (Artificial Intelligence Research Institute of the Spanish National Research Council, Barcelona) ------------------------------------ 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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RoboCup 2022 Symposium: Deadline Extended to 28 April 2022
by Amy Eguchi 16 Apr '22

16 Apr '22

Dear RoboCuppers; The deadline has been extended to 28 April 2022! Please have your submission to be received by 28 April 2022! We are excited to announce two keynote speakers confirmed! Here are their names linked to their website: Dr. Mary-Anne Williams <https://www.xplainableai.org/> Dr. Angelica Lim <https://www.sfu.ca/computing/people/faculty/angelicalim.html> We are in the process of inviting more keynotes! Looking forward to meeting you at the symposium! Symposium Chairs ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Call for papers RoboCup International Symposium 2022 https://2022.robocup.org/symposium-call-for-papers/ 17 July 2022 Bangkok, Thailand (hybrid setting) The 25th RoboCup International Symposium will be held on 17 July 2022, in conjunction with RoboCup 2022 (11 July to 17 July 2022) in a hybrid setting. We call for submissions of papers reporting innovative, original research with relevance to areas of robotics and artificial intelligence as listed below. Within the described scope of topics, we also encourage submissions of high-quality overview articles, papers describing real-world research, and papers reporting theoretical results. Researchers are invited to submit their work independently of whether they participate in the RoboCup competitions or have a RoboCup team. The symposium is planned to be held in person in Bangkok, Thailand, with remote participation options for both presenters and attendees. In addition to the regular track with regular research papers, there is the development track encouraging reports on innovative hardware developments, software frameworks, and open-source releases of software components. A review of papers describing these contributions will be based on technical aspects and benefits to the practice of communities working in the above fields in general and RoboCup in particular. IMPORTANT DATES Submission of full papers: 17 April 2022 28 April 2022 Notification to authors: 5 June 2022 Submission of camera-ready copies: 26 June 2022 RoboCup Symposium 2022: 17 July 2022 (RoboCup on 11-17 July 2022) SUBMISSION AND PROCEEDINGS All papers will be peer-reviewed and evaluated by members of the senior program committee. The proceedings of the RoboCup International Symposium will be published and archived within the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series by Springer-Verlag after the conference. Papers should be formatted following the LNAI author guidelines ( https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) and must be electronically submitted through the EasyChair electronic submission system ( https://easychair.org/conferences/?conf=robocupsymposium2022). Submissions are limited to 12 pages including references. Springer’s proceedings LaTeX templates are also available in Overleaf: https://de.overleaf.com/latex/templates/springer-lecture-notes-in-computer-… TOPICS Topics of interest include, but are not limited to: * Robot Hardware and Software - mobile robotics - humanoid robotics - sensors and actuators - embedded and mobile devices - robot construction and new materials - robot system integration - robot software architectures - robot programming environments and languages - real-time and concurrent programming - robot simulators - sim2real learning * Perception and Action - 3D perception - distributed sensor integration - sensor noise filtering - real-time image processing and pattern recognition - motion and sensor models - sensory-motor control - robot kinematics and dynamics - high-dimensional motion control * Robot Cognition and Learning - world modelling and knowledge representation - learning from demonstration and imitation - localisation, navigation, and mapping - planning and reasoning - decision making under uncertainty - neural systems and deep learning - complex motor skill acquisition - reinforcement learning and optimisation - motion and sensor model learning * Human-Robot Interaction - robot social intelligence - fluency of interaction - speech synthesis and natural language generation - natural language recognition - explainable robot behaviours - emotion recognition and reaction - understanding human intent and behaviour - safety, security and dependability - enabling humans to predict robot behaviour * Multi-Robot Systems - team coordination methods - communication protocols - learning and adaptive systems - teamwork and heterogeneous agents - dynamic resource allocation - adjustable autonomy * Education and Edutainment - robotics and artificial intelligence education - educational robotics - robot kits and programming tools - robotic entertainment * Applications and Benchmarking - search and rescue robots - robot surveillance - service and social robots - robots at home, at work and in public spaces - robots in the real world - performance metrics - human-robot interaction DEVELOPMENT TRACK To encourage open-source release of hardware and software systems, the RoboCup International Symposium has included a development track in recent years. In 2021, we expand the scope of this track to include datasets and benchmarks. We encourage the submission of papers describing open-source hardware and software, tools and frameworks that facilitate development of robotics hardware and software, datasets that enable new robotic capabilities, as well as benchmarks that establish reproducible test beds and performance metrics to advance research. If applicable, contributions to the special track should include evidence of the released system or dataset, and highlight past, ongoing, and/or potential future impacts on the RoboCup community. A review of these contributions will be based on technical merit and benefits to the RoboCup community and the research topics listed above. PROGRAM CO-CHAIRS Maike Paetzel-Prüsmann, University of Potsdam, Germany Nuno Lau, University of Aveiro, Portugal Thanapat Wanichanon, Mahidol University, Thailand Amy Eguchi, University of California San Diego CONTACT robocupsymposium2022(a)easychair.org

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[news][meeting] Call for Papers BAILAR 2022 at IEEE ROMAN Conference 2022
by Mariacarla Staffa 15 Apr '22

15 Apr '22

*BAILAR 2022: The 6th Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics* Royal Continental Hotel and Meeting Centre, Naples, Italy Naples, Italy, August 29, 2022 *Conference website* https://sites.google.com/view/bailar-2022/home *Submission link* https://easychair.org/conferences/?conf=bailar2022 *Submission deadline* June 1, 2022 *Topics: **socially assistive robotics <https://easychair.org/cfp/topic.cgi?a=28249434;tid=687286> mutual affective understanding <https://easychair.org/cfp/topic.cgi?a=28249434;tid=27170020> theory of mind in hri <https://easychair.org/cfp/topic.cgi?a=28249434;tid=27243540> internal state monitoring and adaptation <https://easychair.org/cfp/topic.cgi?tid=27243533;a=28249434>* *Statement of objectives* Mutual affective understanding is integral for achieving the so-called Theory of Mind (ToM) allowing successful, acceptable, and intelligent social human-robot interaction (HRI). Corresponding concepts rely on new paradigms of robotic control systems that consider not only the possibility for a robot to interpret humans’ observable behaviors and internal/emotional states with the aim of anticipating and adapting to their subsequent reactions, but also to facilitate humans in the interpretation and anticipation of the robot’s state, intentions, and future actions through legible behavior designed around the emotional dimension of the communication. In addition to being able to detect and interpret humans' basic affective responses to adapt their behavior accordingly, robots should also be endowed with the ability to show affective and social responses in a legible way for humans to allow acceptability and efficient human-machine communication. This is especially desirable in the field of Socially Assistive Robotics (SAR), where interaction often takes place with disabled or vulnerable people. Especially in this period of worldwide pandemic, an increasing number of hospitals have relied on the assistance of social robots to interact with patients as helping interfaces for remote communication with their families. Moreover, robots can help decrease the workload and physical contact of healthcare specialists, which would be beneficial to overcome the situations where elderly or vulnerable people are at risk of getting infected. The need to ensure the positive feelings and acceptance of people, while providing them with the necessary assistance, has outlined the utility of intelligent and empathic socially assistive robots. In these contexts, it is of paramount importance to consider the effect of verbal and non-verbal emotional social cues of the robot on the affective state of the user with whom it is interacting. On the one hand, a robot can be employed to provide assistance to individuals with disability (e.g., cognitive or physical rehabilitation exercises) with the aim of increasing their health and improving their quality of life. On the other hand, its presence and actions could also potentially trigger negative emotions such as stress or discomfort if not tailored to the individual’s needs and expectations. This may cause serious difficulties by negatively impacting the users' health and, in turn, achieving a counter-productive result. In this context, robots could use the affect-sensing capability to learn and adapt their behavior to be more comfortable for individuals and to achieve a higher degree of learnability and acceptability through inclusive interaction. This edition of BAILAR Workshop aims at putting the mutual understanding of affective/emotional states of robots and humans at the crossroads with learning and user adaptation within HRI. Methodologies and technologies adopted for detecting and adapting to users’ mental states, emotions and dispositions during HRI will be presented and discussed. Experimental protocols and results could also outline possible effects of gender, age, personality, and pathology on robot perception from an emotional and affective point of view, as well as ethical considerations regarding learning and using personal data within assistive applications. *Intended audience: *This workshop is intended as a forum for a broad audience, composed of roboticists, psychologists, computer scientists, social and ethics scientists, aiming at discussing the role of adaptation, learning, emotional communication, and mutual affective understanding in HRI for assistive real-world applications, and their potential impact on users’ acceptance, especially in terms of usability, efficiency, empathy, and their emotional responses. *List of topics: *Topics of interest include, but are not limited to, the following: - Online adaptive behavior - Acceptability and personalization in HRI - User and behavior modeling for adaptation - Emotion and intention recognition - Multimodal interfaces for emotion recognition - Affective and emotional robots - Empathy in robotics - Mutual affective communication - Affective computing in SAR - Internal state monitoring - Detection of verbal and non-verbal behavioral cues - Lifelong (or continual) learning methods in HRI - Short-term personalization in HRI - Incremental and online learning in HRI - Robot behavior explainability - Theory of mind in Robotics - Understandable Communication - Ethical Aspects of Affective HRI communication and personalization in SAR - Evaluation metrics for adaptive robot behavior - Cultural and Social Awareness in HRI - Intention Recognition and Commitment - Mixed-Initiative Interaction - Cognitive Robotics *Important Dates* - *Deadline for Paper Submission:* June 1st, 2022 - *Paper Acceptance Notification:* June 25th, 2022 - *Camera Ready Paper:* July 20th, 2022 - *Main Conference Date:* August 28th– September 2nd, 2022 - *Workshop Date:* September 2nd, 2022 (To be decided by the ROMAN2022’s PC) *Invited speakers * - *Prof. Tom Zimkie*, Linköping University, Sweden (CONFIRMED) - *Prof. Antonio Sgorbissa*, University of Genova, Italy (CONFIRMED) - *Prof. Hatice Gunes*, University of Cambridge, UK (CONFIRMED) - *Prof. Joost Broekens*, University of Leiden, The Netherlands (CONFIRMED) *Organizing Committee* *Mariacarla Staffa* (Primary Contact Person) *- *Department of Science and Technologies - University of Naples Parthenope (*mariacarla.staffa(a)uniparthenopoe.it <mariacarla.staffa(a)uniparthenopoe.it>*) *Antonio Andriella* *- *Institut de Robotica i Informatica Industrial (CSIC-UPC), Spain (*aandriella(a)iri.upc.edu <aandriella(a)iri.upc.edu>*) *Bahar Irfan - *Evinoks Service Equipment Industry and Commerce Inc., Turkey (*bahar.irfan(a)evinoks.com <bahar.irfan(a)evinoks.com>)* *Alessandro Umbrico - *National Research Council of Italy, Institute of Cognitive Sciences and Technologies (CNR-ISTC), Italy* (**alessandro.umbrico(a)istc.cnr.it <alessandro.umbrico(a)istc.cnr.it>)* -- *Mariacarla Staffa, PhDAssistant ProfessorDepartment of Science and Technologies* *University of Naples "Parthenope"* *address: Centro Direzionale, Isola C, 4° Piano, Lato Nord, Stanza 428, 80143, Napoli* *tel: 081-5476580institutional e-mail: mariacarla.staffa(a)uniparthenope.it <mariacarla.staffa(a)uniparthenope.it>*

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Call for Paper - Computational Intelligence and Neuroscience Special Issue
by Pub Conference 14 Apr '22

14 Apr '22

Interpretation of Machine Learning: Prediction, Representation, Modeling, and Visualization 2022 https://www.hindawi.com/journals/cin/si/470979/ Call for papers This Issue is now open for submissions. Papers are published upon acceptance, regardless of the Special Issue publication date. ------------------------------ <https://www.hindawi.com/journals/cin/si/470979/> Description <https://www.hindawi.com/journals/cin/si/470979/> 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 them 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 and medical communications. However, deep neural networks yield ‘black-box’ input-output mappings that can be challenging to explain to users. Especially in the medical, military 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. The aim of this Special Issue is to bring together original research articles and review articles that will present the latest theoretical and technical advancements of machine and deep learning models. Submissions about algorithms with improved computational efficiency and scalability are also welcome. We hope that this Special Issue will: 1) improve the understanding and explainability of 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: - Supervised, unsupervised, and reinforcement learning - Classification, clustering, and optimization for big data analytics - Extracting understanding from large-scale and heterogeneous data - Dimensionality reduction and analysis of large-scale and complex data - Deep learning for time series forecasting - Quantifying or visualizing the interpretability of deep neural networks - Stability improvement of deep neural network optimization - Novel machine and deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security Publishing date 01 Dec 2022 Status Open Submission deadline 22 Jul 2022

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