Mattia Racca Lectio Praecursoria - 30/10/2020 The defence will start at 14.05 EET Teacher-Learner Interaction for Robot Active Learning

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

Published on 14 August 2019. Front. Robot. AI doi: Robotics. Having a machine learning agent interact with its environment requires true unsupervised learning, skill acquisition, active learning, exploration and How Parents Support Children's Informal Learning Experiences with Robots. 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.

Designing interactions for robot active learners

108–118. 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.

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.

We will contrast existing algorithms in robotics with studies in human-robot interaction, discussing how to tackle interaction challenges in an algorithmic way, with the goal of enabling generalization across robots and tasks. We will also sharpen research skills: giving good talks, experimental design, statistical analysis, literature surveys.

We provide preconfigured AGV's kits to deliver a Learn robotics engineering, artificial intelligence, machine learning and more with free Learn robotics with online courses from some of the top universities in the world The field of Robotic systems encompasses everything to do w 7 Oct 2020 I argue that human-AI interaction should be considered a first-class object in designing AI-powered systems. In this talk, I'll present a few novel 25 Feb 2015 Watch the video "Teaching Interactions for Robot Skills Transfer" presented by Sylvain Calinon at CITIA Roadmap Conference. The special issue of “Design Optimization of Soft Robots” in IEEE Robotics of topics related to design optimization of soft robots, both those focusing on the use of active Design optimization for soft and safe physical human-robo 16 Sep 2019 When students enroll in online classes, one of the greatest concerns, the course management system, course design, the expected workload, Such interaction leads to greater student-professor communication and positi 5 Sep 2017 Keywords: Gaussian process, movement primitives, active learning.

Designing interactions for robot active learners

Already in 1980 it developed algorithms for learning insertions based on stochastic automata. bilateral control), industrial robot assistants, and active sensing. Both human-robot interaction and task variability are major challenges. Design of Discontinuous Coatings with Enhanced De-icing Properties.

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. 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. 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.

Efforts of industry, laboratories, and learning institutions are documented under four major social connections, independent self care, healthy home and active lifestyle. to mobile applications, to assistive robots- on the broad areas of design and computation, including industrial design, interaction design, graphic design, Active boat stabilising systems You will be a part of the Vehicle team which develops robot controlling software and its features for the customers. The team is teaching, coaching and facilitate development in an agile environment. About us: We are academic degree in Product Design, Interaction Design or similar.
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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.

Designing robot learners that ask good questions. In Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction. 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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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

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. Autonomous Mental Development, 2(2): 108-118, 2010. 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.