BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//scienceofintelligence.de - ECPv6.15.12.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:scienceofintelligence.de
X-ORIGINAL-URL:https://www.scienceofintelligence.de
X-WR-CALDESC:Events for scienceofintelligence.de
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241105T160000
DTEND;TZID=Europe/Berlin:20241105T180000
DTSTAMP:20260423T182145
CREATED:20241030T143652Z
LAST-MODIFIED:20250603T124652Z
UID:22527-1730822400-1730829600@www.scienceofintelligence.de
SUMMARY:POSTPONED: Karoline Wiesner (University of Potsdam)\, “Introduction to Complexity Science: Part I”
DESCRIPTION:Karoline Wiesner has been a Professor of Complexity Science at the Institute for Physics and Astronomy since 2021 and also serves as an external professor at the Complexity Science Hub Vienna. She earned her Ph.D. in Physics at Uppsala University and spent her postdoctoral years at the Santa Fe Institute in New Mexico and the University of California in Davis. At the University of Bristol\, UK\, she held positions as Assistant and later Associate Professor\, as well as being a visiting professor at Lund University\, the Niels Bohr Institute in Copenhagen\, and the Potsdam Institute for Climate Impact Research. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream. \n\nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/karoline-wiesner-potsdam-university-introduction-to-complexity-science-part-i/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Mohsen_Complexity_Science.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241112T160000
DTEND;TZID=Europe/Berlin:20241112T180000
DTSTAMP:20260423T182145
CREATED:20241030T144317Z
LAST-MODIFIED:20250603T124629Z
UID:22533-1731427200-1731434400@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)\, “Introduction to Complexity Science: Part II”
DESCRIPTION:Pawel Romanczuk holds a professorship on Complexity Research in Adaptive Systems at HU. For SCIoI\, he works at the interface of applied mathematics\, theoretical physics\, and behavioral biology. He focuses on collective behavior of organismic systems. His research bridges analytical and synthetic sciences to study self-organization\, evolutionary adaptations\, and functional dynamical behavior. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream.
URL:https://www.scienceofintelligence.de/event/pawel-romanczuk-science-of-intelligence-introduction-to-complexity-science-part-ii/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/Pawel-Romanczuk-Copyright-SCIoI-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241115T140000
DTEND;TZID=Europe/Berlin:20241115T153000
DTSTAMP:20260423T182145
CREATED:20241024T140828Z
LAST-MODIFIED:20250603T124613Z
UID:22483-1731679200-1731684600@www.scienceofintelligence.de
SUMMARY:Sylvain Calinon (IDIAP\, EPFL)\, “Frugal Learning of Manipulation Skills in Robotics”
DESCRIPTION:Many applications in robotics would benefit from robots being able to learn manipulation skills from only few demonstrations or trials. This contrasts with the ongoing trend in machine learning of constantly increasing the amount of data required to learn tasks. The main challenge of acquiring manipulation skills from limited training data is to find inductive biases and representations that can be used in a wide range of tasks\, which requires us to advance on several fronts\, including data structures and geometric structures. As example of data structures\, I will discuss the use of tensor factorization techniques that can be used in global optimization problems to efficiently extract and compress information\, while providing diverse human-guided learning capabilities (imitation and environment scaffolding). As examples of geometric structures\, I will discuss the use of Riemannian geometry and geometric algebra in robotics\, where prior knowledge about the physical world can be embedded within the representations of skills and associated learning algorithms. \nSylvain Calinon is a Senior Research Scientist at the Idiap Research Institute and a Lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). He heads the Robot Learning & Interaction group at Idiap\, with expertise in human-robot collaboration\, robot learning from demonstration and model-based optimization. The approaches developed in his group can be applied to a wide range of applications requiring manipulation skills\, with robots that are either close to us (assistive and industrial robots)\, parts of us (prosthetics and exoskeletons)\, or far away from us (shared control and teleoperation). \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nThe event will take place in person and is available on Zoom. \nImage generated with DALL-E by Maria Ott. \n 
URL:https://www.scienceofintelligence.de/event/sylvain-calinon-idiap-epfl-frugal-learning-of-manipulation-skills-in-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/manipulation-e1729782264342.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241119T160000
DTEND;TZID=Europe/Berlin:20241119T180000
DTSTAMP:20260423T182145
CREATED:20241030T145327Z
LAST-MODIFIED:20250603T124603Z
UID:22535-1732032000-1732039200@www.scienceofintelligence.de
SUMMARY:Mohsen Raoufi (Science of Intelligence)\, “Crash Course on Network Science”
DESCRIPTION:Mohsen is a doctoral researcher at SCIoI\, working on Project 27\, Speed-Accuracy Tradeoffs in Collective Estimation. His research explores the role of networks in shaping collective opinion dynamics. \nIn this lecture\, he will provide an overview of network science with a focus on its applications in collective robotics. He will cover basic topics in graph theory and show how a network science perspective can help our understanding of collective robotics. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering.
URL:https://www.scienceofintelligence.de/event/mohsen-raoufi-science-of-intelligence-crash-course-on-network-science/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/raoufi-mohsen.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241126T160000
DTEND;TZID=Europe/Berlin:20241126T180000
DTSTAMP:20260423T182145
CREATED:20241108T171440Z
LAST-MODIFIED:20250603T124551Z
UID:22656-1732636800-1732644000@www.scienceofintelligence.de
SUMMARY:Justin Werfel (Harvard University)\, “Bio-Inspired Intelligence and Robotics”
DESCRIPTION:Justin Werfel is a senior research scientist at Harvard’s Wyss Institute for Biologically Inspired Engineering\, where he works on topics in complex and emergent systems\, including swarm robotics\, termite behavior\, engineered molecular nanosystems\, and evolutionary theory. He leads the Designing Emergence Laboratory\, and works closely with a number of other collaborating labs. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/justin-werfel-harvard-university-bio-inspired-intelligence-and-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/11/Werfel1.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241129T140000
DTEND;TZID=Europe/Berlin:20241129T153000
DTSTAMP:20260423T182145
CREATED:20241024T152054Z
LAST-MODIFIED:20250603T124529Z
UID:22490-1732888800-1732894200@www.scienceofintelligence.de
SUMMARY:Majid Khadiv (TU München)\, “Optimal Control and Learning for Contact-Rich Robotics”
DESCRIPTION:The past few years have witnessed significant progress in the field of legged locomotion and manipulation. This is mainly due to the availability of high-performance hardware as well as development of algorithms that scale to high-dimensional\, hybrid and under-actuated systems. In this talk\, I will present my recent research efforts\, mainly on the algorithmic side\, on developing efficient predictive controllers that can be complemented with supervised/reinforcement learning for real-time execution in the real world. I will also share my perspective on the open problems that we still need to solve to have functional humanoid robots in the real world. \nMajid Khadiv is an assistant professor in the school of Computation\, Information and Technology (CIT) at TUM. He leads the chair of AI Planning in Dynamic Environments and is also a member of the Munich Institute of Robotics and Machine Intelligence (MIRMI). Prior to joining TUM\, he was a research scientist at the Empirical Inference Department at the Max Planck Institute for Intelligent systems. Before that he was a postdoctoral researcher in the Machines in Motion\, a joint laboratory between New York University and Max Planck Institute. Since the start of his PhD in 2012\, he has been performing research on motion planning\, control and learning for legged robots ranging from quadrupeds\, lower-limb exoskeleton up to humanoid robots. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nImage generated with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/majid-khadiv-tu-munchen-optimal-control-and-learning-for-contact-rich-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/legged_locomotion.webp
END:VEVENT
END:VCALENDAR