[Tweets]

18/06/2018 5:18pm
RT @ChanelleLLee: Our paper ‘Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Robotics’ has been accepted…
18/06/2018 10:56am
RT @ilpincy: Our manuscript "Simulating Kilobots within ARGoS: Models and Experimental Validation" has been accepted as full paper at @ants
11/06/2018 5:20pm
RT @AndyRidgway1: They've been a fair few months in the making but we - that's @SciCommsUWE - have just launched a new range of #scicomm tr…
08/06/2018 11:19am
MIT scientists created a “psychopath” AI by feeding it violent content from Reddit. A very interesting experiment.… [LINK]

[C++]

Along with Objective-C, this is one of my favourite languages. I learned C++ during my BSc in Games Development and fell in love with the low-level control and freedom this language provides. [Yes, I do prefer managing my program's memory rather than having a garbage collector].

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.