Package: evorobotstar Version: 1.0-1 Priority: optional Section: unknown Maintainer: Gianluca Depends: libc6 (>= 2.3.5-1), libgcc1 (>= 1:4.1.1-12), libqt4-core (>= 4.2.1), libqt4-gui (>= 4.2.1), libstdc++6 (>= 4.1.1-12) Architecture: amd64 Filename: ./amd64/evorobotstar_1.0-1_amd64.deb Size: 315250 Installed-Size: 1216 MD5sum: d2c1cd792b84a4d572598ecc835bf6a3 Description: EvoRobot* Evorobot* is an easy-to-use but powerful tool for running experiments on the evolution of collective behavior and communication which is based on the e-puck robotic platform. The tool, which is released in a Windows and Linux version, includes the Evorobot* program, the source files, the user manual, and a tutorial. The development of Evorobot* has been supported by the ECAgents project funded by the Future and Emerging Technologies programme (IST-FET) of the European Community under EU R&D contract IST-1940. Package: icub Version: 0.1-7 Priority: optional Section: unknown Maintainer: Gianluca Depends: libatk1.0-0 (>= 1.12.2), libc6 (>= 2.3.5-1), libcairo2 (>= 1.2.4), libfontconfig1 (>= 2.4.0), libgcc1 (>= 1:4.1.1-12), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgsl0 (>= 1.4), libgtk2.0-0 (>= 2.8.0), libice6 (>= 1:1.0.0), libpango1.0-0 (>= 1.14.8), libsdl1.2debian (>= 1.2.10-1), libsm6, libstdc++6 (>= 4.1.1-12), libx11-6, libxcursor1 (>> 1.1.2), libxext6, libxfixes3 (>= 1:4.0.1), libxi6, libxinerama1, libxrandr2, libxrender1 Architecture: amd64 Filename: ./amd64/icub_0.1-7_amd64.deb Size: 5694644 Installed-Size: 12284 MD5sum: 49b628cb1609a2eba04e1c57cfaf8277 Description: iCub Platform See www.robotcub.org Package: nnfw Version: 1.1.5-17 Priority: optional Section: unknown Maintainer: Gianluca Architecture: amd64 Filename: ./amd64/nnfw_1.1.5-17_amd64.deb Size: 794114 Installed-Size: 4004 MD5sum: cce5a7fddfa625c3dd6641c6c7ce564a Description: Neural Network Framework The NNFW project is a set of C++ classes for creating an huge variety of neural networks. The framework is structured in different levels in order to provides various interfaces for quick-easy utilization and deeply-expert utilization, from newbie to masters: 1. at low-level it's possibile to act completly free for building complex architecture; from this level expert-users can contribute to NNFW adding new functionalities; 2. at mid-level there are classes for quick-creation of common neural networks as multilayer feedforward, Elmann networks, Radial-basis network and so on; 3. the possibility to represent a neural network with XML files allow an abstract and general way for accessing to all functionality of NNFW, also to the contribution of expert users; 4. a graphical interface it's the high-level way to use the framework; Package: yarp Version: 2.2.1-7 Priority: optional Section: unknown Maintainer: Gianluca Depends: libc6 (>= 2.3.5-1), libgcc1 (>= 1:4.1.1-12), libstdc++6 (>= 4.1.1-12) Architecture: amd64 Filename: ./amd64/yarp_2.2.1-7_amd64.deb Size: 2911820 Installed-Size: 10652 MD5sum: 445ebc402e1254f8d4e64d7cb4f637e7 Description: Yet Another Robot Platform (Yarp) YARP is plumbing for robot software. It is a set of libraries, protocols, and tools to keep modules and devices cleanly decoupled. It is reluctant middleware, with no desire or expectation to be in control of your system.