20/04/2018 6:16pm
DART: Noise injection for robust imitation learning via @Robohub [LINK]
18/04/2018 12:44am
RT @UomRobotics: Check out Festo's New Bionic Robots Include Rolling Spider, Flying Fox [LINK] @Festo are real world leade…
17/04/2018 8:47pm
A new exciting #postdoc position in #swarm #robotics at @unisouthampton [LINK]
12/04/2018 12:24am
RT @wjscheirer: Pre-print of the long awaited position paper: "The Limits and Potentials of Deep Learning for Robotics." Provocative stuff…

[Problems with the NXC Compiler]

Added on 01/02/2012
Tags: Mindstorms

After being paused by many NXC compiler errors, I can finally resume my work on the NXC User Interaction library that should be coming out soon.

Having a bad compiler version and wrong firmware prevented me from using some math functions but thanks to help of John Hansen, who is one of the people behind NBC and NXC, I managed to get everything right. I will be posting a firmware-compilation tutorial soon. mindstorms lego

{Please enable JavaScript in order to post comments}

[You might also be intested in...]

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.
V-REP, Gazebo or ARGoS? A robot simulators comparison
Let’s have a look at three commonly used open-source simulators for robotics: V-REP, Gazebo and ARGoS, to find out which one suits your project the best.
Designing Effective Roadmaps for Robotics Innovation
Automated factories, autonomous delivery drones, self-driving cars: these and similar technologies will soon touch every aspect of our lives. An engaging discussion about how these technologies are regulated and innovated took place at the IROS 2017 conference.
The Information-Cost-Reward framework for understanding robot swarm foraging
The Information-Cost-Reward (ICR) framework relates the way in which robots obtain and share information about where work needs to be done to the swarm’s ability to exploit that information in order to perform work efficiently in the context of a particular task and environment.
Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms
Behaviour-Data Relations Modeling Language (BDRML) explicitely represents behaviours and data that robots utilise, as well as relationships between them. This allows BDRML to express control algorithms where robots cooperate and share information with each other while interacting with the environment.