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[Blog :: Dec - Dec 2017]

V-REP, Gazebo or ARGoS? A robot simulators comparison

Multi-agent systems Robots C++ AI Added on 17/01/2018 :: 7 comments

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

Robots AI Added on 21/12/2017

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.

Robot swarms in action

Multi-agent systems Robots AI Added on 28/06/2017

Watch e-puck robots collect resources and bring them back to base. While the previous simulation work helped us to learn a lot about the advantages and disadvantages of communication in swarms, doing similar experiments with real robots is already revealing interesting new things.

How to compile code for e-puck robots on your computer

Multi-agent systems Robots C++ Added on 31/03/2017 :: 2 comments

Compiling code natively on e-puck robots or cross-compiling on your computer can be very tedious. Luckily, there is a third option: compiling code on a virtualised robot system on your computer, then sending the program onto the robot.

Coding for tomorrow: Why is good code important?

Web applications Objective-C Matlab Java C++ ActionScript Added on 27/01/2017

"Why should I care about how my code is written, as long as it works?" I will argue here that well-structured and well-written code not only saves time on a project, it also helps you to invest your time in a way that is meaningful for your future work.

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.

Citations count fails to measure the impact of research

Academic career progress is often judged by so-called "h-index", that measures how much your research is being cited. I recently had a detailed look at what exactly the citations, specifically those reported by Google Scholar, amount to. Only a relatively small fraction of the reported citations corresponded to research being applied or reproduced in a meaningful way.

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.