Phidgets: easy development of physical interfaces through physical widgets
Proceedings of the 14th annual ACM symposium on User interface software and technology
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Papier-Mache: toolkit support for tangible input
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Topobo: a constructive assembly system with kinetic memory
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pyro: A python-based versatile programming environment for teaching robotics
Journal on Educational Resources in Computing (JERIC)
Reflective physical prototyping through integrated design, test, and analysis
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Graphical instruction for a garment folding robot
ACM SIGGRAPH 2009 Emerging Technologies
Cooking with robots: designing a household system working in open environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tangible bots: interaction with active tangibles in tabletop interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Aero-Marker: blimp-based augmented reality marker for objects with virtual and tangible features
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
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There are many toolkits for physical UIs, but most physical UI applications are not locomotive. When the programmer wants to make things move around in the environment, he faces difficulty related to robotics. Toolkits for robot programming, unfortunately, are usually not as accessible as those for building physical UIs. To address this interdisciplinary issue, we propose Phybots, a toolkit that allows researchers and interaction designers to rapidly prototype applications with locomotive robotic things. The contributions of this research are the combination of a hardware setup, software API, its underlying architecture and a graphical runtime debug tool that supports the whole prototyping activity. This paper introduces the toolkit, applications and lessons learned from three user studies.