TUIO Research Papers - Academia.edu (original) (raw)

This paper charts the design and build of two interactive tabletops that use infrared (IR) illumination techniques. One table implements fiducial tracking, whilst the other implements multitouch tracking. Trade-offs in both designs are... more

This paper charts the design and build of two interactive tabletops that use infrared (IR) illumination techniques. One table implements fiducial tracking, whilst the other implements multitouch tracking. Trade-offs in both designs are discussed to highlight key considerations when building an interactive table. Using three key dimensions from lessons learned, we conduct a comparative analysis of both approaches. Finally, we propose a DIY Design Process to assist designers in building their own interactive table. Categories and Subject Descriptors B.m [Hardware]: Miscellaneous. D.2.13 [Software]: Reusable Software – Reusable libraries. H5.2 [Information Systems]: Information interfaces and presentation (I.7) – User Interfaces

With the advancement of technology, mobile robots are increasingly immersed in daily life, whether for to perform household tasks, explore inhospitable places or perform impossible tasks for humans. However, the control of this type of... more

With the advancement of technology, mobile robots are increasingly immersed in daily life, whether for to perform household tasks, explore inhospitable places or perform impossible tasks for humans. However, the control of this
type of device is not always trivial, since it is non-linear systems in most cases. Because of this, it is common to find scientific and technical work on control tools for such systems. Among these techniques, (T-S) Takagi-Sugeno fuzzy controller has been highlighted, being that one of the reasons for this is the versatility and ease of obtaining efficient control laws. However, there are few publications that have practical results of this technique. Therefore, this work proposes the application of T-S fuzzy control techniques positioning problem of a vehicle with multiple trailers in reverse movements. This case was chosen
because it is an interesting example from the point of view of existing nonlinearities and also for the development trend of increasingly intelligent vehicles. A prototype was built using LEGO Mindstorms and designed to perform real time control. States are measured with the help of a Web Cam connected to a computer. The image processing is done by ReacTVIsion framework and the data is sent to the LEGO every moment of sampling via Bluetooth. Experiments were performed in the differential vehicle with multiple trailers with variations of one, two and three trailers. Furthermore, the cabin of the traction
motor tricycle type was replaced by a differential drive by modifying the system model used in the original approach. Experimental results show that T-S fuzzy control technique is very effective and promising