Richard Crowder — accepted AI-conference papers

2018

Recruitment Near Worksites Facilitates Robustness of Foraging E-Puck Swarms to Global Positioning Noise

Lenka Pitonakova, Alan Winfield, Richard Crowder

IROS 2018poster

We compare the ability of two different robot controllers for collective foraging to cope with noise in robot global positioning data and show how recruitment, in the form of broadcast messages near worksites, can make swarms more robust. Swarms of five e-puck robots are used in a semi-virtual envir…

Cited by 7 Source ↗Scholar ↗

2017

Behaviour-data relations modelling language for multi-robot control algorithms

Lenka Pitonakova, Richard Crowder, Seth Bullock

IROS 2017poster

Designing and representing control algorithms is challenging in swarm robotics, where the collective swarm performance depends on interactions between robots and with their environment. The currently available modeling languages, such as UML, cannot fully express these interactions. We therefore pro…

Cited by 15 Source ↗Scholar ↗