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September 2019

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[meetings] CALL for posters to IROS 2019 Workshop: Semantic Policy and Action Representations for Autonomous Robots (SPAR)
by Karinne Ramirez-Amaro 16 Sep '19

16 Sep '19

*4th Workshop on Semantic Policy and Action Representations for Autonomous Robots (SPAR)* November 8, 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Macau, China ----*Call for Papers* We are calling for contributions to our IROS 2019 workshop. We would like to invite the attendees of this workshop to submit an extended abstract explaining their current work or developed systems on the areas of reasoning, perception, control, planning, and learning applied to robotic systems. This workshop is intended for roboticists interested in improving the reliability and autonomy of robots. We hope to bring together outstanding researchers and graduate students to discuss current trends, problems, and opportunities in semantic action (policy) representations, encouraging communication and common practices such as sharing data-sets among scientists in this field. We encourage 1-2 pages extended abstract of relevant work that has been previously published, or is to be presented at the main conference. The accepted abstracts will be posted on the workshop website in a compiled yearbook and will not appear in the official IEEE proceedings. We encourage researchers as well as companies (both hardware and software companies) to contribute to the workshop. The reviewing is single blind, and will be carried out by the workshop chairs. Please submit your abstract to the workshop official email address spar.workshop(a)gmail.com before *September 27*, 2019. The accepted papers will have the opportunity to present their work/ideas in a poster session. Two selective submissions will give a 15 min talk at the workshop. Please indicate in your email if you want to present as a poster or oral presentation. ----*Important Dates* Paper submission deadline: September 27, 2019 Notification of acceptance: October 20, 2019 Camera ready submission: October 31, 2019 Workshop day: November 08, 2019 ----*Workshop URL* https://sites.google.com/view/spar2019/home Contact email: spar.workshop(a)gmail.com ----*Workshop objectives* It has been a long-standing question whether robots can reach human level of intelligence that understands the essence of observed actions and imitates them even under different circumstances. Contemporary research in robotics and machine learning has attempted to solve this question from two different perspectives: One in a bottom-up manner by, for instance, solely relying on perceived continuous sensory data, whereas the other by approaching rather from the symbolic level in a top-down fashion. Although there have been shown encouraging results in both flows, understanding and imitation of actions have yet to be fully solved. Action semantics stands as a potential glue for bridging the gap between a symbolic action representation and its corresponding continuous signal level description. Semantic representation provides a tool for capturing the essence of action by revealing the inherent characteristics. Thus, semantic features help robots to understand, learn, and generate policies to imitate actions even in various styles with different objects. Thus, more descriptive semantics yields robots with greater capability and autonomy. In this full-day workshop, we aim at answering two major questions. 1. What have we learned from action semantics? In recent years, there has been a substantial contribution in semantic policy and action representation in the fields of robotics, computer vision, and machine learning. In this respect, we would like to invite experts in academia and motivate them to comment on the recent advances in semantic reasoning by addressing the problem of linking continuous sensory experiences and symbolic constructions to couple perception and execution of actions. This is of fundamental importance to ease the symbol grounding problem in robotics. 2. How much of semantic policy and action representation have been transferred from controlled lab setups to industrial environments? We would like to invite researchers from industry and initiate a discussion between academic and industrial communities. Such a provocative discussion catalyzes the interaction between the two communities by addressing the scalability and generalization problems which still remain unsolved. In this respect, we would like to discuss how to transfer our current knowledge and experience about semantic policies to new domains, for instance, industrial assembly tasks, with very little human intervention. This workshop focuses on new technologies that allow robots to learn generic semantic models for different tasks. In this workshop, we will bring together researchers from diverse fields, including robotics, computer vision, and machine learning in order to overview the most recent scientific achievements and the next break-through topics, and also to propose new directions in the field. ----The topics that are indicative but by no means exhaustive are as follows: ● AI-Based Methods o Learning and adaptive systems o Probability and statistical methods o Action grammars/libraries o Machine learning techniques for semantic representations o Spatiotemporal event encoding ● Reasoning Methods in Robotics and Automation o Signal to symbol transition (Symbol grounding/Object anchoring) o Different levels of abstraction o Semantics of manipulation actions o Semantic policy representation o Context modeling methods o Concept formulation ● Human Behavior Recognition o Learning from demonstration o Object-action relations o Bottom-up and top-down perception ● Task, Geometric, and Dynamic Level Plans and Policies o PDDL high-level planning o Task and motion planning methods ● Human-Robot Interaction o Prediction of human intentions o Linking linguistic and visual data ----*Invited Speakers (all confirmed)* * Kei Okada, The University of Tokyo. Japan. http://www.jsk.t.u-tokyo.ac.jp/~k-okada/index-e.html * Tanja Schultz, University of Bremen. https://www.uni-bremen.de/en/csl/team/staff/prof-dr-ing-tanja-schultz/ * Georg von Wichert, Siemens. Germany. https://www.linkedin.com/in/georg-von-wichert-7a74796/ * Stefanos Nikolaidis, University of Southern California. USA https://stefanosnikolaidis.net/ * Xiaoping Chen, University of Science and Technology of China. http://ai.ustc.edu.cn/en/people/xpchen.php * Joseph Lim, University of Southern California. https://viterbi-web.usc.edu/~limjj/ * Darius Burschka, Technical University of Munich. http://robvis01.informatik.tu-muenchen.de/ * Chris Paxton, Nvidia Robotics lab. https://research.nvidia.com/person/chris-paxton * Jesse Thomason, University of Washington https://jessethomason.com/ ----*Organizers* * Karinne Ramirez-Amaro, Chalmers University of Technology, Sweden * Eren Erdal Aksoy, Halmstad University, Sweden * Yezhou Yang, Arizona State University, USA * Shiqi Zhang, SUNY Binghamton, USA ----*Advisory Board* * Michael Beetz, University Bremen, Germany * Yiannis Aloimonos, University of Maryland, USA * Tamim Asfour, Karlsruhe Institute of Technology, Germany * Florentin Wörgötter, University of Göttinngen, Germany -- Asst. Prof. Karinne Ramirez Amaro Chalmers University of Technology Department of Electrical Engineering Systems and Control Division Mechatronics Group IEEE Associate Vice President - Conference Operations E-mail:karinne@chalmers.se Office telephone: +46-31-772-1074 Address: SE-412 96 Göteborg, Sweden www.chalmers.se

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RoboCup Asia-Pacific (RCAP) 2019: Pre-registration Extended!
by Asad Norouzi 02 Sep '19

02 Sep '19

######################## 2nd Call for Participation ##################### The 3rd RoboCup Asia-Pacific (RCAP 2019) Competition and Symposium 6 – 10 November 2019, Competition 11 November 2019, Symposium Moscow, Russia http://www.robocupap2019.org ###################### RoboCup Asia Pacific 2019 ###################### The 3rd RoboCup Asia Pacific (RCAP) Competition and Symposium will be held in Moscow, Russia, 6-11 November 2019. This is the third official RoboCup Super Regional event in the Asia-Pacific region. *The pre-registration deadline has been extended to the 8th of September.* *Leagues* The RoboCup Asia-Pacific 2019 (RCAP 2019) competition leagues are as follows: *RoboCupSoccer:* - Humanoid Leagues - Kid Size - Small Size League - Standard Platform League *RoboCup@Home:* - RoboCup@Home Education *RoboCupIndustrial:* - RoboCup@Work *RoboCupJunior:* - Soccer - Lightweight Primary - Lightweight Secondary - Open - Rescue - Rescue Line Primary - Rescue Line Secondary - Rescue Maze Primary - Rescue Maze Secondary - Rescue Simulation Primary - Rescue Simulation Secondary - OnStage - Preliminary Primary - Preliminary Secondary - Advanced Secondary *RoboCup Asia Pacific (RCAP) Challenges* The RCAP 2019 Organizing Committee will be organizing RCAP Industry Sponsored Leagues and RCAP Challenges. The RCAP Challenges will be as follows: - RCAP CoSpace Grand Prix Challenge - RCAP CoSpace Rescue Challenge - RCAP Junior Humanoid - RCAP RoboCup@Home Education - RCAP Junior @Home Education - RTC Cup *Participation* All teams (including RC Junior teams) are required to pre-register through the online form here: https://forms.gle/ENjvpQnFH7Gqbwmt8 The pre-registered teams are required to submit the relevant qualification materials as per the leagues requirements. Teams are requested to contact their league’s technical committee for more information about submission of qualification materials. Junior teams must take note that they should also submit a Team Description Paper (TDP). *Important dates* - Pre-Registration: 12 August – 08 September, 2019 - Announcement of qualified teams: 15 September, 2019 - Regular Registration: 16 September – 06 October, 2019 For further information please visit our official website at http://www.robocupap2019.org For inquiries please contact us via the hereunder email addresses: General Enquiries and Travel Support: rusrcap(a)gmail.com Registration, Competition, Leagues: moscow2019(a)robocupap.org Regards, RoboCup Asia-Pacific (RCAP) Office RoboCup Asia-Pacific 2019 (RCAP 2019) Organizing Committee

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