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Inspired by needs for haptic support of large motions on a surface in applications like embodied conceptual learning, commercial design, and 2D virtual/augmented reality, we at SPIN lab at the University of British Columbia made a ballpoint drive system called Magic Pen [1]. This novel approach circumvents conventional constraints by imposing a new one: motion restricted to rolling on an arbitrary two dimensional surface, and grounding forces generated through friction.
During this visit at EPFL, I propose to work with two existing research projects at CHILI lab; CoWriter and Cellulo. The Magic Pen and these NCCR Robotics projects could mutually benefit from each other and make new contributions to Educational Robotics.
The CoWriter [2,3] project at the CHILI Lab of EPFL, uses a learning by teaching paradigm to encourage children to practice their handwriting by teaching a robot. Using a graphical tablet to acquire handwriting data, a RF based algorithm is now able to diagnose dysgraphia and to characterise precisely handwriting difficulties [4]. The last results of the project showed in particular that the pen pressure, tilt and dynamic features of handwriting were very discriminative for dysgraphia. TBC
Karon MacLean
École polytechnique fédérale de Lausanne
Computer science
Education
The University of British Columbia
Globalink Research Award
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