Highlights•Value-sensitivity plays a pivotal role in (collective) decision making and suggests
a speed-value tradeoff.•Combining nutrition and collective decision making may provide a …

To effectively perform collective monitoring of dynamic environments, a robot swarm needs
to adapt to changes by processing the latest information and discarding outdated beliefs. We …

Random walks represent fundamental search strategies for both animal and robots,
especially when there are no environmental cues that can drive motion, or when the …

The demands from precision agriculture (PA) for high-quality information at the individual
plant level require to re-think the approaches exploited to date for remote sensing as …

Working with large swarms of robots has challenges in calibration, sensing, tracking, and
control due to the associated scalability and time requirements. Kilobots solve this through …

In recent years, autonomous electric vehicles (A-EVs) have attracted the attention of
academia and industry. In urban mobility, this topology requires consensus to control …

We advance a novel computational model of multi-agent, cooperative joint actions that is
grounded in the cognitive framework of active inference. The model assumes that to solve a …

We present the Kilogrid, an open-source virtualization environment and data logging
manager for the Kilobot robot, Kilobot for short. The Kilogrid has been designed to extend …

Local interactions and communication are key features in swarm robotics, but they are most
often fixed at design time, limiting flexibility and causing a stiff and inefficient response to …

In many monitoring and map** applications, high-resolution data are required only in
certain areas while others can receive lower attention. To this end, unmanned aerial …