[Tweets]

18/10/2021 10:24pm
RT @petitegeek: “If we could understand what information the predictive models were using, we could ask for feedback that improved our whol…
16/10/2021 6:43am
This week ends with a finished design for a prototype electric car website. What do you think? Would you buy the ca… [LINK]
05/10/2021 4:14am
RT @vitotrianni: Two PhD positions in collaboration between @cnr_istc and @SapienzaRoma will open soon. The research focuses on #robotics a…
04/10/2021 9:14am
A new office pet has arrived :) [LINK]
01/10/2021 10:46pm
Just published: A new case study about a website that I made for my research project about robot swarms.… [LINK]

[Blog :: Jan - Dec 2017]

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.

Coding for tomorrow: Why is good code important?

Objective-C Matlab Libraries Java C++ Applications ActionScript Python Web 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.

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.