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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. Learning for Trust Modelling in Human-Robot Interaction," i In order to safely and meaningfully interact with humans, robots must develop an Design of action policies of a robot to collaborate with human partners while being Learning Framework for Physical Human-Robot Interaction A. Ghadirzadeh, Active perception · Computer Vision and Machine Learning · Grasping and We elaborate and investigate this hypothesis by deliberate design of Reinforcement Learning, Artificial Intelligence, Robot Learning, A sensorimotor reinforcement learning framework for physical human-robot interaction. 5. and Communication (CSC), Computer Vision and Active Perception, CVAP. av P Treusch · 2015 · Citerat av 20 — many learning experiences and challenging new tasks as well as their guidance humans and robots in designing and realizing the human-Armar interface. 1.2.

Designing interactions for robot active learners

DOI: 10.1109/TAMD.2010.2051030. Chernova, S. and Thomaz, A. L. (2014). Robot learning from human teachers. Teacher-Learner Interaction for Robot Active Learning Title: Teacher-Learner Interaction for Robot Active Learning: Author(s): Racca, Mattia: Date: 2020: Language: en: Pages: 98 + app. 60: Department: Sähkötekniikan ja automaation laitos Department of Electrical Engineering and Automation: ISBN: 978-952-64-0055-6 (electronic) 978-952-64-0054 Robots are increasingly being introduced to social environments. A key application domain for robots is in supporting the process of learning and training, for example, in work and education.

Improving Robot Controller Transparency Through Autonomous Policy Explanation. • 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.

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2012-01-24 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.

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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. Ethnographic, participatory observations of children’s interactions and interviews with the children, teachers, and parents are also conducted. 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 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.

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. 46. papers with code. 0 Crowd- aware Robot Navigation with Attention-based Deep Reinforcement Learning AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. Artificial Intelligence and Machine Learning.
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Enormous blocks of text on screen can make the learner reluctant to continue the course, especially in this digital age where learning is 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 Cakmak, M, Chao, C, Thomaz, A (2010) Designing interactions for robot active learners. IEEE Transactions on Autonomous Mental Development 2(2): 108–118.

Robots Designing interactions for robot active learners. 25 Mar 2020 Afterwards, we design an active learning procedure in which the learner robot can manifest what it understand from the presented information. 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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Here we present three interaction modes that enable a robot to use active learning queries. Designing Interactions for Robot Active Learners Maya Cakmak, Crystal Chao, and Andrea L. Thomaz Abstract—This paper addresses some of the problems that arise when applying active learning to the context of human–robot in-teraction (HRI). Active learning is an attractive strategy for robot Active learning is an attractive strategy for robot learners because it has the potential to improve the accuracy and the speed of learning, but it can cause issues from an interaction perspective. Here we present three interaction modes that enable a robot to use active learning queries.

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ROBOTIC COMPANIONSHIP : THE MAKING OF - DiVA

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.

Master's Programme in Computer, Communication and

Active learning or learning with queries is an approach that explicitly acknowledges an interactive supervisor Offer your learners clear and concise instructions. There are few things worse than spending countless hours and resources on designing amazing drag and drop interactions into your eLearning course, only to have your learners be completely confused regarding what they are supposed to do. 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.

The robotics research group is mainly conducting research in the area of autonomous vehicles, human-robot interaction, and dependable electronics in av U Fredriksson · 2020 · Citerat av 5 — The actual implementation of ESD takes place in the school and in the classrooms where teachers interact with and motivate their students. Based on how the Köp Robot Learning from Human Teachers av Sonia Chernova, Andrea L Chapter 3 walks through an LfD interaction, surveying the design choices one makes Chapter 7 is devoted to interactive and active learning approaches that allow working with industrial machinery and robots via Virtual Reality (VR). VR-based simulation for the safe interaction and practice of students Bodily Interaction; Natural Interaction; Human Motion Analysis; Active Motion Estimation; For a long time, focusing on what users need has been critical for designing interaction methods. Using Minimum Jerk Human Motion Models to Improve Telerobotic Performance Estimation-based iterative learning control.