30 Jun 2016 Active Learning is a great way to pull the most learning out of the the labeling work you get your users to do. However, from an interaction design

Uppsatser om SCENARIOBASERAD DESIGN. 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

Influencing robot learning through design and social interactions : a framework for balancing designer effort with active and explicit interactions Author: Marom, Yuval Awarding Body: University of Edinburgh Current Institution: University of Edinburgh social robots ﬁeld to implement and improve this framework. Our goal is to implement a form of “interactional intelli-gence” in social robots. For that purpose, we focus on several aspects of social interactions: emotional intelligence, timing of the interaction, adaptability to the changing context, pref-erence learning, etc. This course will provide you with toolkits for analyzing interactions and an exposure to the theoretical underpinnings of interaction design, design thinking, need finding and designing emotive objects, with a specific focus on using those tools to explore interactions with robots. This idea, called Active Learning, has recently caught a lot of attention in the robotics commu-nity.

Designing interactions for robot active learners

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. M. Cakmak, C. Chao, and A. Thomaz. Designing interactions for robot active learners. IEEE Transactions on Autonomous Mental Development, 2(2):108--118, 2010. Google Scholar Digital Library; S. Calinon and A. Billard. Statistical learning by imitation of competing constraints in joint and task space. Advanced Robotics, 23(15):2059--2076, 2009.

173: 2010: Using perspective taking to learn from ambiguous demonstrations. C Breazeal, M Berlin, A Brooks, J Gray, AL Thomaz. 2012-01-24 M. Cakmak, C. Chao, and A. Thomaz.

We propose to use concepts from algorithmic teaching to measure and improve human teaching for machine learners. We first investigate input examples produced by human teachers in comparison to optimal or useful teaching sequences, and find that human teachers do not naturally generate the best learning examples. Then we provide humans with teaching guidance in the form of step-by-step …

Then we provide humans with teaching guidance in the form of step-by-step teaching Mattia Racca Lectio Praecursoria - 30/10/2020 The defence will start at 14.05 EET Teacher-Learner Interaction for Robot Active Learning M. Cakmak, C. Chao, and A.L. Thomaz, "Designing Interactions for Robot Active Learners." in IEEE Transactions on Autonomous Mental Development, 2010. A.L. Thomaz and M. Cakmak, "Learning about objects with human teachers." In Proceedings of the International Conference on Human-Robot Interaction (HRI), 2009. Teaching 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. 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.

Designing interactions for robot active learners

This course will provide you with toolkits for analyzing interactions and an exposure to the theoretical underpinnings of interaction design, design thinking, need finding and designing emotive objects, with a specific focus on using those tools to explore interactions with robots.

Essen-tially, it contains all the components required for desktop robot construction. Its mechanicals include servomotors, aluminum links, parallel-jaw wrist-and-gripper assembly, construction bases, and other parts. The learner uses these to Designing Interactions for Robot Active Learners Abstract: This paper addresses some of the problems that arise when applying active learning to the context of human-robot interaction (HRI).

In 2020, the AI-powered four-year-old robot is going to continue her role as a robotic ambassador, helping to advance research into robotics and human-robot interactions. Although some media or technologies are not inherently interactive, they can be explicitly designed to encourage interaction with learners. For instance, although a web page is not inherently interactive, it can be designed to be interactive, by adding a comment box or by requiring users to enter information or make choices. Now, put technology into the mix and things get a little complicated. First, there is a definite need to adapt active learning activities.On top of that, there’s also a necessity to address trainees who are highly dependent on tech. Utilizing active training methods in the classroom is already a challenge in itself; but now, active online learning has also become part of the equation.
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38, 72076 Tübingen, Germany b Université de Liège, INTELSIG ab,L Department of Electrical Engineering and Computer Science, Belgium Abstract Grasping an object is a task that inherently 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. Designing robot learners that ask good questions. Designing interactions for robot active learners. M Cakmak, C Chao, AL Thomaz. IEEE Transactions on Autonomous Mental Development 2 (2), 108-118, 2010.

Maya Cakmak, Crystal Chao, Andrea Lockerd Thomaz. Designing Interactions for Robot Active Learners. IEEE T. Autonomous Mental Development, 2(2): 108-118, 2010.
Lindholmens tekniska gymnasium mat

5 Sep 2017 Keywords: Gaussian process, movement primitives, active learning. 1 Introduction. Robots Designing interactions for robot active learners.

Based on interactions, we can examine and then explain how and why active&nb A participatory design process of a robotic tutor of assistive sign language for children with autism Teacher-Learner Interaction for Robot Active Learning. S. A. Khader et al., "Stability-Guaranteed Reinforcement Learning for A. Drimus et al., "Design of a flexible tactile sensor for classification of D. Kragic och H. I. Christensen, "Integration of visual cues for active tracking of an end-effector," , s.

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IMPROVING ROBOT'S LEARNING USING ACTIVE. LEARNING APPROACH IN The central part of this work is to design a strategy for particular task from a teacher's demonstration, thus increasing the ability of robots to interact with

Its mechanicals include servomotors, aluminum links, parallel-jaw wrist-and-gripper assembly, construction bases, and other parts. The learner uses these to Designing Interactions for Robot Active Learners Abstract: This paper addresses some of the problems that arise when applying active learning to the context of human-robot interaction (HRI).

Using Adobe Captivate Learning Interactions As an Instructional Designer, I am always concerned about how to organize and present content in a way that does not overwhelm my learners. Therefore, writing style and length of text are extremely important. Enormous blocks of text on screen can make the learner reluctant to continue the course, especially in this digital age where learning is

• Interaction Design: • Designing Interactions for Robot Active Learners Toward Designing User-centered Idle Behaviors for Social Robots in the Home Impact of Interaction Context on the Student Affect-Learning Relationship in Personalized Estimation of Engagement from Videos Using Active Learning with Index Terms—active learning, humanoid robot, music perfor- mance imitation compensate for design or parametrization errors, avoiding the need to fine-tune robot interaction, as it provides a hint about how difficult the task may b Interactive Machine Learning (IML) seeks to complement human perception and intelligence by tightly Designing interactions for robot active learners. 6 Nov 2017 Keywords: Gaussian process, movement primitives, active learning. 1 Introduction. Robots Designing interactions for robot active learners. 12 Jul 2010 perimentation or through human–robot interaction, how to tune their innate experimental design and active learning [1]–[6], [19], [39], and the 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);& robot interaction has focused mostly on the mo- tion level (e.g. bols as an active learning problem, where the robot Designing Interactions for Robot Active. We propose an active learning algorithmic architecture, capa- ble of organizing its the design of learning algorithms using competence progress measures.

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. 38, 72076 Tübingen, Germany b Université de Liège, INTELSIG ab,L Department of Electrical Engineering and Computer Science, Belgium Abstract Grasping an object is a task that inherently 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. Designing robot learners that ask good questions. Designing interactions for robot active learners.