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DTSTART;TZID=Europe/Berlin:20230406T100000
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UID:13325-1680775200-1680778800@www.scienceofintelligence.de
SUMMARY:Xing Li (Science of Intelligence)\, "Learning to Manipulate Articulated Objects From Human Demonstrations"
DESCRIPTION:Abstract: \nProgramming robots to manipulate articulated objects such as drawers\, doors\, or locks is a challenging task. One of the major reasons for this difficulty is that robots must physically interact with objects\, and even minor errors during manipulation can result in significant internal forces that may cause damage. \nWhile robots struggle with these manipulation tasks\, humans can effortlessly operate complex mechanisms with great reliability. Moreover\, humans can transfer their experience between objects of the same type\, resulting in remarkable generalization. This raises the question of how we can transfer these robust and general manipulation skills from humans to robots. \nIn this presentation\, we will introduce a viable solution to achieve this transfer in the context of manipulating articulated objects. Specifically\, we will demonstrate that a robot can acquire a manipulation policy that reliably manipulates various instances of the same type based on a single demonstration of a human opening an articulated object. \nFollowing the presentation\, we invite those who are interested to participate in an interactive session where we can discuss and share our experiences with controlling the robot with the soft hand in the robotics lab on the second floor. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-xing-li/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2022/11/20201020-SCIOI-Xing1-1024x1024-1.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230413T100000
DTEND;TZID=Europe/Berlin:20230413T110000
DTSTAMP:20260409T091740
CREATED:20230320T094941Z
LAST-MODIFIED:20250603T125951Z
UID:14984-1681380000-1681383600@www.scienceofintelligence.de
SUMMARY:Nina Poth (Science of Intelligence)\, “Exploring the Prospects for a Prediction-Oriented View of Intelligence”
DESCRIPTION:Abstract: It has recently been proposed that a minimal condition of intelligence is the ability to form accurate predictions (Tjøstheim & Stephens 2021). In this talk\, I evaluate the promise of this view for integrating intelligence research across subdisciplines within the cognitive and life sciences. I argue that this view combines two desirable features: (1) it allows us to subsume key dimensions identifying intelligent behaviour\, such as goal-directedness\, adaptiveness\, generality\, and flexibility (Coelho Mollo 2021; Glock 2019)\, under a unifying conceptual framework; (2) it combines well with a non-symbolic approach to representation at various degrees of abstraction (Gärdenfors 2004). Thereby\, the predictive view provides opportunities for sharing concepts and transforming problems across research on artificial and biological intelligence. However\, an outstanding issue with this approach is its current lack of insight into the relevant mechanisms and functional interactions generating intelligent behavior. I respond to this challenge by discussing a set of available research heuristics for mechanism discovery (Poth 2022).\n\nReferences \nCoelho Mollo\, D. (2022). Intelligent Behaviour. Erkenntnis\, 1-17.\nGärdenfors\, P. (2004). Conceptual spaces as a framework for knowledge representation. Mind and Matter\, 2(2)\, 9-27.\nGlock\, H. J. (2019). Agency\, intelligence and reasons in animals. Philosophy\, 94(4)\, 645-671.\nPoth\, N. (2022). Schema-centred unity and process-centred pluralism of the predictive mind. Minds and Machines\, 32(3)\, 433-459.\nTjøstheim\, T. A.\, & Stephens\, A. (2021). Intelligence as Accurate Prediction. Review of Philosophy and Psychology\, 1-25. \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-nina-poth/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/03/nina-poth.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230420T100000
DTEND;TZID=Europe/Berlin:20230420T110000
DTSTAMP:20260409T091740
CREATED:20230320T095113Z
LAST-MODIFIED:20250603T125937Z
UID:14987-1681984800-1681988400@www.scienceofintelligence.de
SUMMARY:Friedhelm Hamann (Science of Intelligence)\, “Applications of Event Cameras: Animal Behavior Quantification in the Wild”
DESCRIPTION:Abstract: \nEvent cameras are novel bio-inspired sensors that naturally respond to motion in the scene. They have promising advantages\, namely a high dynamic range\, little motion blur and low latency. But how can we leverage these advantages for vision tasks such as animal behavior quantification? In this talk I will  present two applications developed at the Robotic Interactive Perception lab\, where we used event cameras to address practical problems\, from low-level vision (background-oriented schlieren imaging\, a technique for visualizing air flow) to high-level vision (animal behavior quantification in the wild). \nThis talk will take place in person at SCIoI. \nPhoto by Steve Johnson on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-scioi-project-36/
CATEGORIES:Thursday Morning Talk
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