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17/04/2021 5:13am
RT @ALifeConf: #ALIFE2021 Keynote Speaker Announcement #4 Tim Taylor @drtimt "Weird Tales: Early Visions of Machines That Can Reproduce an…
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RT @dePolavieja: Ten last days to apply to two positions to use ML to decipher biomolecular interactions between host and microbiome. Appli…
13/04/2021 3:04am
How to build a #robotics #startup : Getting the team right [LINK]
09/04/2021 12:58pm
This is simply amazing - Elon Musk's Neuralink reveals monkey playing Pong with brain implant [LINK]
06/04/2021 2:23am
RT @GaryMarcus: “For the foreseeable future, computers will not be able to match humans in their ability to reason abstractly about real-wo…

[Blog :: Jan - Jan 2022]

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.