[Tweets]

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]
07/06/2018 7:36pm
Excited that our paper on #information exchange #design #patterns for #robot #swarm #foraging is now published in… [LINK]
06/06/2018 5:04pm
I suppose following the horrible news of @Microsoft taking over @github, this is what the @Bitbucket landing page l… [LINK]

[Welcome to my website]

Lenka Pitonakova I am a research associate in Applied Mathematics and Computer Science at the University of Bristol. Previously, I was a post-doctoral research fellow at the University of Southampton and worked at the Bristol Robotics Laboratory. My research area is swarm robotics, in particular understanding how swarm behaviour can be designed. My wider research interests include robotics and smart systems in general, especially those used in homes and in urban areas. I post about research on Twitter, LinkedIn and in my blog.

Apart from doing research, I am also a software developer with extensive experience in different languages, platforms and toolkits. My passion is computer games developent and I am always working on a personal side project when the time allows. Apart from programming, I enjoy creative writing, drawing and playing music.

I have a PhD in Simulation of Complex Systems, a Masters in Evolutionary and Adaptive Systems and a BSc in Games Development. [Contact and more info]

Selected projects

The Information-Cost-Reward framework for understanding robot swarm foraging

Multi-agent systems AI The Information-Cost-Reward (ICR) framework relates the way in which robots obtain and share...

Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms

Multi-agent systems AI Behaviour-Data Relations Modeling Language (BDRML) explicitely represents behaviours and data that...

The Hive Mind

Flash AI The Hive Mind is a sci-fi puzzle game about insect-inspired construction with robots. The player...

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

Multi-agent systems Robots C++ AI Let’s have a look at three commonly used open-source simulators for robotics: V-REP, Gazebo and...
 

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.