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Developing Learning Scenarios to Foster Children"s Handwriting Skills with the Help of Social Robots


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    Chandra, Shruti; Dillenbourg, Pierre; Paiva, Ana

Social robots are being used to create better educationalscenarios, boosting children’s motivation and engagement.The focus of the research is to explore new ways to supportchildren in acquisition of their handwriting skills with thehelp of a social robot. With this perspective, three studiesare discussed to investigate aspects related to the learningmodes of child-robot interaction, children’s impression of asocial robot and classification of children’s common hand-writing difficulties

Posted on: June 29, 2017

Classification of Children"s Handwriting Errors for the Design of an Educational Co-writer Robotic Peer


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    Chandra, Shruti; Dillenbourg, Pierre; Paiva, Ana

In this paper, we propose a taxonomy of handwriting errors exhibited by children as a way to build adequate strategies for integration with a co-writing peer. The exploration includes the collection of letters written by children in an initial study, which were then revised in a second study. The second study also analyses the "peer-learning" (PL) and "peer-tutoring" (PT) learning methods in an educational scenario, where a pair of children perform a collaborative writing activity in the presence of a robot facilitator. The data obtained in the first two studies allowed us to create a "taxonomy of handwriting errors". A set of writing errors were selected and implemented in an educational activity for validation. This activity constituted a third study, wherein we systematically induced the errors into a Nao robot’s handwriting using the {PT} method – A teacher-child corrects the handwriting errors of the learner-robot. The preliminary results suggest that the children in general showed awareness to the writing errors and were able to perceive the writing abilities of the robot.

Posted on: June 29, 2017

Can a Child Feel Responsible for Another in the Presence of a Robot in a Collaborative Learning Activity?


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    Chandra, Shruti; Oliveira, Patricia; Lemaignan, Severin; Sequeira, Pedro; Paiva, Ana; Dillenbourg, Pierre

In order to explore the impact of integrating a robot as a facilitator in a collaborative activity, we examined interpersonal distancing of children both with a human adult and a robot facilitator. Our scenario involves two children performing a collaborative learning activity, which included the writing of a word/letter on a tactile tablet. Based on the learning-by-teaching paradigm, one of the children acted as a teacher when the other acted as a learner. Our study involved 40 children between 6 and 8 years old, in two conditions(robot or human facilitator). The results suggest first that the child acting as a teacher feel more responsible when the facilitator is a robot, compared to a human ; they show then that the interaction between a (teacher) child and a robot facilitator can be characterized as being a reciprocity-based interaction, whereas a human presence fosters a compensation-based interaction.

Posted on: June 29, 2017

Windfield: Demonstrating Wind Meteorology with Handheld Haptic Robots


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    Ozgur, Ayberk; Johal, Wafa; Mondada, Francesco; Dillenbourg, Pierre

One of the main issues with the acceptance of robotic tools in schools is the extracurricular aspect of the learning activities using these robots. In the Cellulo project, we developed a novel robotic platform that aims to provide a ubiquitous, versatile and practical tool for teachers with subjects varying among the different topics at their respective school curricula. In order to show the potential of Cellulo in the classroom as part of standard curricular activities, we designed a learning activity called Windfield that aims to teach the atmospheric formation mechanism of wind to early middle school children.

Posted on: June 9, 2017

Workshop on Robots for Learning: R4L


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    Johal, Wafa; Vogt, Paul; Kennedy, James; de Haas, Mirjam; Paiva, Ana; Castellano, Ginevra; Okita, Sandra; Tanaka, Fumihide; Belpaeme, Tony; Dillenbourg, Pierre

While robots have been popular as a tool for STEM teaching, the use of robots in other learning scenarios is novel. The field of HRI has started to report on how to make effective robots usable in educational contexts. However, many challenges remain. For instance, which interaction strategies aid learning, and which hamper learning? How can we deal with the current technical limitations of robots? Answering these and other questions requires a multidisciplinary effort, including contributions from pedagogy, developmental psychology, (computational) linguistics, artificial intelligence and HRI, among others. This abstract provides a brief overview of the current state-of-the-art in social robots designed for learning and describes the aims of the Robots for Learning (R4L) workshop in bringing together a multidisciplinary audience for furthering the development of market-ready educational robots.

Posted on: June 9, 2017

Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion


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    J. Buchli

Reference

Posted on: May 29, 2017

A comparison of volumetric information gain metrics for active 3D object reconstruction


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    D. Scaramuzza

Reference

Posted on: May 29, 2017

Aggressive Quadrotor Flight through Narrow Gaps with Onboard Sensing and Computing using Active Vision


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    D. Scaramuzza

Reference

Posted on: May 29, 2017

Dynamic Collaboration without Communication: Vision-Based Cable-Suspended Load Transport with Two Quadrotors


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    Gassner, M; Cieslewski, T; Scaramuzza, Davide

Reference

Posted on: May 29, 2017

Active Exposure Control for Robust Visual Odometry in HDR Environments


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    Zhang, Zichao; Forster, Christian; Scaramuzza, Davide

Reference

Posted on: May 29, 2017