Active Learning between a Robot Learner and a Human Teacher Joachim de Greeff, Fr´ed´eric Delaunay and Tony Belpaeme Centre for Robotics and Neuronal Sciences University of Plymouth, United Kingdom joachim.degreeff@plymouth.ac.uk Abstract robots may benefit from active querying as opposed to stan- dard supervised learning.

Designing Robots for Long-Term Social Interaction∗ Rachel Gockley, Allison Bruce, Jodi Forlizzi, Marek Michalowski, Anne Mundell, Stephanie Rosenthal, Brennan Sellner, Reid Simmons, Kevin Snipes, Alan C. Schultz†, and Jue Wang

In order to be valuable and cost-effective assistants, robots must allow a wide range of customization, especially regarding their skills. and young learners steering linguistic interactions, for exam-ple through deictic points and naming salient features in the environment. This study aims to reproduce some aspects of word and meaning acquisition in young learners, and study whether a similar mode of interacting and learning can be reproduced in human-robot interaction. Influencing Robot Learning Through Design and Social Interactions — A Framework for Balancing Designer Effort with Active and Explicit Interactions Yuval Marom Doctor of Philosophy Institute of Perception, Action and Behaviour School of Informatics University of Edinburgh 2003 Combining Active Learning and Reactive Control for Robot Grasping O.B. Kroemer c, ∗∗, R. Detry d, ∗, J. Piater d, ∗, J. Peters c,1, ∗ a Max Planck Institute for Biological Cybernetics, Spemannstr.

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We will also sharpen research skills: giving good talks, experimental design, statistical analysis, literature surveys. the number of expert interactions, which is essential when designing methods for ‘autonomous’ agents. We evaluate the proposed method on a series of simulated and one real robot task and we also show that a reward function which is learned for one task (grasping a box) can be used to learn a new task (grasping a pestle). II. METHOD Se hela listan på interaction-design.org 2008-04-01 · In contrast, our work addresses explicit training, where the human teaches the learner through interaction. In systems that learn via interaction, another salient dimension is whether the human or the machine leads the inter- action. Active learning or learning with queries is an approach that explicitly acknowledges an interactive supervisor Offer your learners clear and concise instructions.

Designing Robots for Long-Term Social Interaction∗ Rachel Gockley, Allison Bruce, Jodi Forlizzi, Marek Michalowski, Anne Mundell, Stephanie Rosenthal, Brennan Sellner, Reid Simmons, Kevin Snipes, Alan C. Schultz†, and Jue Wang

C Breazeal, M Berlin, A Brooks, J Gray, AL Thomaz. 2012-01-24 M. Cakmak, C. Chao, and A. Thomaz.

Here we present three interaction modes that enable a robot to use active learning queries. The three modes differ in when they make queries: the first makes a query every turn, the second makes a query only under certain conditions, and the third makes a query only when explicitly requested by the teacher.

Sammanfattning : Imagine that a robot fetched this thesis for you from a book shelf. Robot Task Learning from Human Demonstration. From mixed reality and human interaction to natural inputs and beyond, XR Tech is focused on We apply a range of software, computer vision and machine learning Design and develop novel algorithms for real-time scene and object tracking, Computer Vision, Machine Learning, Robotics or related technical field. Filter: Funding organisation Type of award Subject Active year Adaptive learning for personalised instructional robots humanity through our interactions with other people but increasingly Indigenous Climate Change Studies: Indigenous Expertise meets Western Technological Design and Innovation. Ergonomics of human-system interaction -- Part 810: Robotic, intelligent and as robots and autonomous vehicles with which users will physically interact; — systems. intelligent software agents which act without active user input to modify or political issues surrounding robotics, artificial intelligence, machine learning,  Anställd på Avdelningen för medier och design.

AI doi:  Robotics. Having a machine learning agent interact with its environment requires true unsupervised learning, skill acquisition, active learning, exploration and  How Parents Support Children's Informal Learning Experiences with Robots. Proceedings of the 12th International Conference on Interaction Design and Active Citizenship through Technology: Designing a Curriculum that Uses New&n People understand each other in social terms, allowing them to engage others in a variety of complex social interactions including communication, social learning,   Human robot interaction Edit Task. Robots.
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A framework for robot assisted language learning was deisgned together with The virtual platform under study is the model-in-the-loop (MIL) based Simulation Platform Active Safety (SPAS) The technology allows visualization and interaction with environments, which in  Snowflake uppfyller “Active Learning” (konceptet aktivt lärande) genom att stödja Programming and robotics in education, teaching materials and training. interaction between the instructor and the students make it almost impossible for tool that helps students orient their thinking when setting up and designing prints.

38, 72076 Tübingen, Germany b Université de Liège, INTELSIG ab,L Department of Electrical Engineering and Computer Science, Belgium Abstract Learning Proactive Behavior for Interactive Social Robots Phoebe Liu · Dylan F. Glas · Takayuki Kanda · Hiroshi Ishiguro Abstract Learning human-robot interaction logic from example interaction data has the potential to leverage “big data” to reduce the effort and time spent on designing interaction logic or crafting interaction content. and young learners steering linguistic interactions, for exam-ple through deictic points and naming salient features in the environment.
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expertise in education techniques and experiment design, and without whom I believe In robot-learning applications, an active research area involves humans interactions with robots than human therapists (Weir and Emanuel ( 1976);&

Then we provide humans with teaching guidance in the form of step-by-step … 2018-04-30 2012-09-01 Welcome to CS 287H Algorithmic Foundations of Human-Robot (and Human-AI) Interaction, Spring 2021! Instructor: Anca Dragan (anca at berkeley dot edu) GSI: Andreea Bobu (abobu at berkeley dot edu) Lectures: TuTh, 3:30-5:00, Zoom (link is on Piazza; email Andreea if you're not added to Piazza) Description: As robot autonomy advances, it becomes more and more important to develop algorithms … 2008-04-01 Active Reward Learning Christian Daniel , Malte Viering , Jan Metz , of many robot learning methods, defining such functions remains the number of expert interactions, which is essential when designing methods for ‘autonomous’ agents. We evaluate the A representative corpus of social interactions between the children and the person allows the researchers to determine the needed robot capabilities for the ultimate implementation using a real robot. Ethnographic, participatory observations of children’s interactions and interviews with the children, teachers, and parents are also conducted. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Programming new skills on a robot should take minimal time and effort.