Welcome to CS 287H Algorithmic Foundations of Human-Robot (and Human-AI) Interaction, Spring 2021! 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 …

We are Sweden's largest technical research and learning institution and home We are looking for a doctoral student who will work with service design with a focus from human meetings between consumers and banks' experts to robotic advisers A postgraduate education at an institution that is active and supportive in

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 … 2008-04-01 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.

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). 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).

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. Robot Task Learning from Human Demonstration.

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.

Distributed Active Learning for Support Vector Machines Large Scale Deformable Object-Robot Interaction Simulation for Machine Learning in Robotics Computational Synthetic Growth and design of nanostructured and 2D materials.

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.

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. 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.
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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.

While such developments are important, they often do not take into account the social structure of the process, in particular, that the interaction with the user and the selection of the different interaction steps can directly influence the In this thesis, I explore whether a social robot's interaction with children can be an effective way to help children think more creatively.
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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. For example, while teaching a robot to go and pick up the mail, the robot can detect numerous other aspects along its path (e.g., pass-ing by a chair, meeting another robot, etc.). These observations are

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.

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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

The core of the research is the design of multi-port antennas, e.g., several By developing close physical human robot interaction, role of the robot is Höök, Kristina (2009) Affective loop experiences: designing for interactional In: 4th ACM/IEEE international Conference on Human Robot interaction, 9-13 March (2009) An Intrinsic Stopping Criterion for Committee-Based Active Learning. 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 Modelling Human Motion: From Human Perception to Robot Design Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) Cognitive Vision: Integrated Vision and AI for Embodied Perception and Interaction.

Keywords: Grounded Language Learning, Active Learning, Human-Robot Inter- depends on some queries being useful for future interactions, but not necessarily Most research in active learning is concerned with the design of appropri

For example, while teaching a robot to go and pick up the mail, the robot can detect numerous other aspects along its path (e.g., pass-ing by a chair, meeting another robot, etc.). 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.

In this paper they compare 3 interaction / learning techniques to enable robots to use active learning. 1: robot queries every turn.