[Tweets]

15/11/2019 6:01am
RT @AandKrobotics: Beyond buzzwords. Our Senior Developer, @l_pitonakova will be talking robots, #AI and #machinelearning and real-world ap…
26/09/2019 7:14am
Day one at #ScirocChallenge: social #robots and humans meet in a shopping mall [LINK]

[Welcome to my website]

Lenka Pitonakova I am a Senior Robotic Systems Developer at A&K Robotics, Vancouver, Canada. Formerly, I was a post-doctoral research fellow at the University of Bristol, The Bristol Robotics Laboratory and the University of Southampton, United Kingdom. I specialize in robotics, agent-based modelling, big data applications, games and web development. My interests include neural networks, autonomous multi-robot systems and biologically inspired artificial intelligence. I post about my work on Twitter, LinkedIn and in my blog.

I enjoy creative writing, making music, drawing and studying Zen philosophy.

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

Novelty detection with robots using the Grow-When-Required Neural Network

Simulation models C++ Bash script The Grow-When-Required Neural Network implementation in simulated robot experiments using the ARGoS...

Robustness in Foraging E-puck Swarms Through Recruitment

Robots Multi-agent systems Swarms of five e-puck robots are used in a semi-virtual environment, facilitated by the VICON...

Stardust Colonies

Games C++ AI Stardust Colonies is a strategy game in which player-controlled units are aware of and affected by...

The Hive Mind

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

Designing Robot Swarms

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

Linee the line follower

Robots Linee is a line following robot that instead of being programmed, uses a fully analogue controller...
 

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.

Novelty detection with robots using the Grow-When-Required Neural Network

The Grow-When-Required Neural Network implementation in simulated robot experiments using the ARGoS robot simulator.

Fast Data Analysis Using C++ and Python

C++ code that processes data and makes it available to Python, significantly improving the execution speed.

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.