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[NXC UserInteraction Library]

VERSION HISTORY

Version 1.2 (March 2012)

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  • Added the possibility of redefining constants before the library header file is included.
  • Fixed a bug where left-aligned text was not padded properly

Version 1.1 (March 2012)

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  • Added multi info dialog
  • Added automatic line breaking for text in the drawAlignedText function
  • Added helper function int lastPos(string substr_, string string_) for calculation of last substring position in a string
  • Added constant QUESTION_DIALOG_BOTTOM_LINE_Y that specifies Y position of the line separating question dialog text and answers
  • Fixed a bug that prevented multiple line break characters that immediately followed each other from creating new lines

Version 1.0 (February 2012)

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NXTPong

A custom-built lego machine for playing pong, featuring two controllers connected to the Mindstorms NXT brick. Programmed using NXC.

Developing in NXC using XCode

After comparing a number of options, I chose NXC as a pretty good alternative to Robot-C. It supports a lot of things like sensor and motor management, playing of sounds, basic 2D and 3D graphics, etc. Most importantly, you can compile your programs from the command line or from XCode. This tutorial assumes knowledge of XCode 4 and of C. The NXC programming guide is a good reference.

Setting up NXC Development on a Mac

This tutorial provides a step-by-step guide for setting up your Mac or Linux machine and your NXT brick for development with NXC. We will use the enhanced NXC firmware in order to enable extended functions for development.

pyCreeper

The main purpose of pyCreeper is to wrap tens of lines of python code, required to produce graphs that look good for a publication, into functions. It takes away your need to understand various quirks of matplotlib and gives you back ready-to-use and well-documented code.

Designing Robot Swarms

This project looks at the challenges involved in modeling, understanding and designing of multi-robot systems.

Robustness in Foraging E-puck Swarms Through Recruitment

Swarms of five e-puck robots are used in a semi-virtual environment, facilitated by the VICON positioning system. Recruitment can make swarms more robust to noise in robot global positioning data.