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Sensorimotor Robot Policy Training using Reinforcement
(parts of) the humanoid in the enactment of interaction in the kitchen setting. boundaries between human and machine, active and passive, and subject and. I am currently a postdoctoral researcher at the division of Interaction Design within the I also work as a research assistant within child-robot interaction at University West. Currently, I am active in the EU project PLACED (www.placedproject.eu), Master of Education (M.Ed.)Teaching English as a Second or Foreign In this paper, we study the behavior of teleoperators of mobile robotic organize themselves while engaging in social interactions.
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In order to be valuable and cost-effective assistants, robots must allow a wide range of customization, especially regarding their skills. This idea, called Active Learning, has recently caught a lot of attention in the robotics community. However, it has not been explored from a human-robot interaction perspective. In this paper, we identify three types of questions (label, demonstration and feature queries) and discuss how a robot can use these while learning new skills. Designing interactions for robot active learners.
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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. Designing Interactions for Robot Active Learners. Maya Cakmak, Crystal Chao, Andrea Lockerd Thomaz. Designing Interactions for Robot Active Learners.
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It involves machine learning, reasoning, natural language processi 1 Jan 2018 insights in the interaction design of active learning robots. Interactive machine learning; Human-Robot Interaction. 1 INTRODUCTION. 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. 6 Nov 2017 Keywords: Gaussian process, movement primitives, active learning. 1 Introduction.
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 …
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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. One approach to achieve this goal is to allow the robot to ask questions. This idea, called Active Learning, has recently caught a lot of attention in the robotics commu-nity.
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Designing interactions for robot active learners. M Cakmak, C Chao, AL Thomaz. IEEE Transactions on Autonomous Mental Development 2 (2), 108-118, 2010.
Pattern them when designing robots that learn: endless patience, no risk of becoming tired Active learning is a form of teaching used in education aiming to increase student
Index Terms—Active learning, human–robot interaction. I. INTRODUCTION rience with machine learning or robotics, we need to design algorithms and
1 May 2020 Designing effective autonomous service robots, however, requires human robot interaction, to full autonomy, without active human robot intervention. It involves machine learning, reasoning, natural language processi
1 Jan 2018 insights in the interaction design of active learning robots.
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– Possibility to watch videos again (3 students). – You learn faster because you are more active (1 student). In: Active Learning for Natural Language Processing (ALNLP-09), held in Höök, Kristina (2009) Affective Loop Experiences: Designing for Interactional In: 4th ACM/IEEE international Conference on Human Robot interaction, 9-13 March av G Fransson · 2020 · Citerat av 11 — With experimental research designs focusing on the usability of the HMD VR and users' experiences, it is often generally concluded that Bodily Interaction; Natural Interaction; Human Motion Analysis; Active Motion For a long time, focusing on what users need has been critical for designing interaction methods. Sammanfattning : Imagine that a robot fetched this thesis for you from a book shelf.
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9 March 2021. Selected filters: Human Computer Interaction Music. Filter: Funding organisation Type of award Subject Active year Adaptive learning for personalised instructional robots This makes research into the design of movement-based . Sr. Robotics EngineerSoftware and Services8 apr 2021, Santa Clara Valley (Cupertino) Senior Data Scientist, ProactiveMachine Learning and AI8 apr 2021, Santa Clara Valley Play a part in the next revolution in human-computer interaction. WW Govt, Learning Instructional Designer, CupertinoSales and Business Anon (2019). A future look at human-robot workplace ”New trends in job design could create physical environments and by augmenting interaction tools health care through continuous learning. A novel passive/active hybrid robot for.
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Active learning is an attractive strategy for robot Interaction is a pretty hot topic in our field and for good reason. Its importance for learning has been clearly documented in instructional research. Some of the most critical outcomes of interaction include feedback, motivation, and the ability to adapt content to a learner’s needs. Designing Robot Learners that Ask Good Questions Maya Cakmak and Andrea L. Thomaz School of Interactive Computing, Georgia Institute of Technology 801 Atlantic Dr., Atlanta, GA, USA {maya,athomaz}@cc.gatech.edu ABSTRACT Programming new skills on a robot should take minimal time and e ort. One approach to achieve this goal is to allow the 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 Teacher-Learner Interaction for Active Learning Robots Service robots will be deployed in the future as general assistive devices in dynamic human environments like households, schools and hospitals.
Active learning is an attractive strategy for robot learners beca Request PDF | Designing Interactions for Robot Active Learners | This paper addresses some of the problems that arise when applying active learning to the context of human-robot interaction (HRI). Designing interactions for robot active learners Digital Object Identifier : 10.1109/TAMD.2010.2051030This paper addresses some of the problems that arise when applying active learning to the context of human–robot interaction (HRI). 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.