Algorithms and graphic interface design to control and teach a humanoid robot through human imitation

Projecte fet en col.laboració amb l'Institut de Robòtica i Informàtica IndustrialGiven that human-like robots are finding their place in different areas of our world, research is being carried out in order to improve human-robot interaction. Humanoid robots not only require a human appearance but also require human-like movements. Along these lines we present this project which tries to give a solution to the question of human to robot arm mapping with the objective to control in real time and to teach a robot by imitation. For the technical implementation we have worked with a SR3000 ToF camera to sense the human movements which allows us to perform a markerless arm tracking based on proximity information. The robot used is a Robotis Bioloid; still, the software has been designed to be adapted with few modifications to other robots having similar arm structures

Development and Comparison of Image Encoders Based on Different Compression Techniques

In this project we present some of the most relevant image compression methods of the digital era. From lossless compression techniques like Laplacian Pyramid, to the current and frequently used lossy JPEG compression techniques, going through techniques that have been very influential in the past, as Fractal compression. The project is organized by chapters describing briefly the algorithms and presenting the results obtained when applied to three different test images. Finally we perform a comparative analysis synthesizing the main results. In this analysis we see the large difference in compression ratios between lossy and lossless compression algorithms. We also compare our developed lossy algorithms, observing that the first Fractal algorithm gives poor PSNR results, while our second Fractal algorithm and the JPEG algorithm give quite better qualities of compression; the latter achieving results comparable to present day JPEG algorithm

Algorithms and graphic interface design to control and teach a humanoid robot through human imitation

Projecte fet en col.laboració amb l'Institut de Robòtica i Informàtica IndustrialGiven that human-like robots are finding their place in different areas of our world, research is being carried out in order to improve human-robot interaction. Humanoid robots not only require a human appearance but also require human-like movements. Along these lines we present this project which tries to give a solution to the question of human to robot arm mapping with the objective to control in real time and to teach a robot by imitation. For the technical implementation we have worked with a SR3000 ToF camera to sense the human movements which allows us to perform a markerless arm tracking based on proximity information. The robot used is a Robotis Bioloid; still, the software has been designed to be adapted with few modifications to other robots having similar arm structures

Development and Comparison of Image Encoders Based on Different Compression Techniques

In this project we present some of the most relevant image compression methods of the digital era. From lossless compression techniques like Laplacian Pyramid, to the current and frequently used lossy JPEG compression techniques, going through techniques that have been very influential in the past, as Fractal compression. The project is organized by chapters describing briefly the algorithms and presenting the results obtained when applied to three different test images. Finally we perform a comparative analysis synthesizing the main results. In this analysis we see the large difference in compression ratios between lossy and lossless compression algorithms. We also compare our developed lossy algorithms, observing that the first Fractal algorithm gives poor PSNR results, while our second Fractal algorithm and the JPEG algorithm give quite better qualities of compression; the latter achieving results comparable to present day JPEG algorithm

Algorithms and graphic interface design to control and teach a humanoid robot through human imitation

Projecte fet en col.laboració amb l'Institut de Robòtica i Informàtica IndustrialGiven that human-like robots are finding their place in different areas of our world, research is being carried out in order to improve human-robot interaction. Humanoid robots not only require a human appearance but also require human-like movements. Along these lines we present this project which tries to give a solution to the question of human to robot arm mapping with the objective to control in real time and to teach a robot by imitation. For the technical implementation we have worked with a SR3000 ToF camera to sense the human movements which allows us to perform a markerless arm tracking based on proximity information. The robot used is a Robotis Bioloid; still, the software has been designed to be adapted with few modifications to other robots having similar arm structures

Building S.C.A.D.A. Systems in Scientific Installations with Sardana and Taurus

International audienceSardana and Taurus form a python software suite for Supervision, Control and Data Acquisition (SCADA) optimized for scientific installations. Sardana and Taurus are open source and deliver a substantial reduction in both time and cost associated to the design, development and support of control and data acquisition systems. The project was initially developed at ALBA and later evolved to an international collaboration driven by a community of users and developers from ALBA, DESY, MAXIV and Solaris as well as other institutes and private companies. The advantages of Sardana for its adoption by other institutes are: free and open source code, comprehensive workflow for enhancement proposals, a powerful environment for building and executing macros, optimized access to the hardware and a generic Graphical User Interface (Taurus) that can be customized for every application. Sardana and Taurus are currently based on the Tango Control System framework but also capable to inter-operate to some extend with other control systems like EPICS. The software suite scales from small laboratories to large scientific institutions, allowing users to use only some parts or employ it as a whole