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.

Human-Computer Interaction educates future leaders who study, innovate, and from engineering and computer science with applications in interaction design, user on AI, machine learning, robotics, electrical engineering, data science etc. Programme administrators, active student tutors and student support services

A. L. (2010). Designing interactions for robot active learners. IEEE Transactions on Autonomous Mental Development, 2(2), pp. 108–118. DOI: 10.1109/TAMD.2010.2051030.

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). Active learning is an attractive strategy for robot learners beca 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. Designing interactions for robot active learners 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. Designing Interactions for Robot Active Learners. Maya Cakmak, Crystal Chao, Andrea Lockerd Thomaz.

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 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.

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 teaching

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.

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

Designing interactions for robot active learners

IEEE Transactions on Autonomous Mental Development, 2(2), pp. 108–118. DOI: 10.1109/TAMD.2010.2051030.

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. 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.
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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. In order to be valuable and cost-effective assistants, robots must allow a wide range of customization, especially regarding their skills.

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11 Jan 2020 In machine learning it is required as ground truth to leverage the potential Thomaz AL (2010) Designing interactions for robot active learners.

These observations are active learning is applied to real robot environment. When a teacher directs by operating a robot intu-itively from input equipment (teaching), a rule is cre-ated automatically, and a robot learns autonomously when there are no directions. We consider that this load problem is reduced by this method in the point Active language learners need to have a good repertoire of communication strategies at their disposal so that they can negotiate meaning. Encourage students to become risk-takers and help them understand that mistakes are an integral part of the learning process.

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Author(s): Liu, Changliu | Advisor(s): Tomizuka, Masayoshi | Abstract: Human-robot interactions (HRI) have been recognized to be a key element of future robots in many application domains such as manufacturing, transportation, service and entertainment. These applications entail huge social and economical impacts. Future robots are envisioned to function as human's counterparts, which are

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. IEEE T. … 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 Interaction is a pretty hot topic in our field and for good reason. Its importance for learning has been clearly documented in instructional research.