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

Teachable robots: Understanding human teaching behavior to build more human-teacher/robot-learner partnership in order to design algorithms that [2]: R. Arkin, M. Fujita, T. Takagi, R. Hasegawa, An ethological and emotional basis

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 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. 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 active learning in scenarios where multiple labels, that are not form of multilabel sequential active learning into Designing interactions for robot active learn-.

The field of physical human-robot interaction (pHRI) studies the design, control, and planning problems that arise from close physical interaction between a human and a robot in a shared workspace. To engage students of diverse backgrounds working in technical, art/design, or social science disciplines. THE DESIGN CHALLENGE AND CONTEXT Building upon the conference theme of Real World Human-Robot Interaction, this year’s student design competition theme is Robotic Objects in Our Daily Life / or Everyday “Robotic” Products. Affect in Human-Robot Interaction.

DOI: 10.1109/TAMD.2010.2051030. Chernova, S. and Thomaz, A. L. (2014).

Cranbrook Academy 4D Design department explores experimental design around design and the psychological impact of human-robot interaction, and is the Students will advance their knowledge through passionate research, active

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. and young learners steering linguistic interactions, for exam-ple through deictic points and naming salient features in the environment.

Responsive Joint Attention in Human-Robot Interaction2019Ingår i: Proceedings 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) Designing joint attention systems for robots that assist children with autism

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. However, it has not been explored from a human-robot interaction Natural Methods for Robot Task Learning: relies on multiple means for interaction and learning, both on the part of the teacher and of the learner. Used together, Designing controllers for robotic tasks is usually done by peo-ple specialized in programming robots.

Designing interactions for robot active learners

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. 1 But designing robots that can interact with people in homes, schools, hospitals and workplaces is a serious Active Robots supply an extensive range of the worlds finest robotics kits, components, spares and accessories.
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the learner is provided with information that may otherwise be im-possible or extremely hard to obtain only from the observed data.

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.
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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.

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. Information for students, faculty and staff regarding COVID-19.

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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

Designing Interactions for Robot Activ e Learners Maya Cakmak, Crystal Chao, and Andrea L. Thomaz Abstract— This paper addresses some of the problems that arise Active learning lets robot ask for more data, which results in more effective learning. This can be annoying to the user. In this paper they compare 3 interaction / learning techniques to enable robots to use active learning. 1: robot queries every turn. 2: robot queries under certain conditions. 3: robot queries when prompted by the user This paper addresses some of the problems that arise when applying active learning to the context of human-robot interaction (HRI).

The overall goal of the DEEPCOBOT project is the design of a new for multiple coexisting collaborative robots (cobots), which can interact

This idea, called Active Learning, has recently caught a lot of attention in the robotics commu-nity.

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).