14 citations · 36 across the 9 of their papers we have counts for
10 papers
From Optimal Policies to Individual Differences: Rethinking Reinforcement Learning for Biology
Patrick Govoni, Palina Bartashevich, Clémence Bergerot +3
Reinforcement learning (RL) is primarily known as a computational method for optimizing control tasks, but it is increasingly used to explain biological behavior. While RL successf…
Social-spatial dependencies for learning visual navigation
Patrick Govoni, Pawel Romanczuk
Navigation for social organisms rarely is a fully independent activity. Group structure and dynamics, as well as embodied interactions, critically influence useful behavior. Indivi…
LARS: Light Augmented Reality System for Swarm
Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann
We present the Light Augmented Reality System LARS as an open-source and cost-effective tool. LARS leverages light-projected visual scenes for indirect robot-robot and human-robot…
Visuospatial navigation from the bottom-up: without vestibular integration, distance prediction, or maps
Patrick Govoni, Pawel Romanczuk
Navigation is believed to be controlled by at least two partially dissociable systems in the brain. The cognitive map informs an organism of its location and bearing, updated by in…
Purely vision-based collective movement of robots
David Mezey, Renaud Bastien, Yating Zheng +4
Collective movement inspired by animal groups promises inherited benefits for robot swarms, such as enhanced sensing and efficiency. However, while animals move in groups using onl…
Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily
Mohsen Raoufi, Heiko Hamann, Pawel Romanczuk
Collective estimation is a variant of collective decision-making where agents reach consensus on a continuous quantity through social interactions. Achieving precise consensus is c…
Leveraging Uncertainty in Collective Opinion Dynamics with Heterogeneity
Vito Mengers, Mohsen Raoufi, Oliver Brock +2
Natural and artificial collectives exhibit heterogeneities across different dimensions, contributing to the complexity of their behavior. We investigate the effect of two such hete…
Individuality in Swarm Robots with the Case Study of Kilobots: Noise, Bug, or Feature?
Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann
Inter-individual differences are studied in natural systems, such as fish, bees, and humans, as they contribute to the complexity of both individual and collective behaviors. Howev…
Estimation of continuous environments by robot swarms: Correlated networks and decision-making
Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann
Collective decision-making is an essential capability of large-scale multi-robot systems to establish autonomy on the swarm level. A large portion of literature on collective decis…
Speed-vs-Accuracy Tradeoff in Collective Estimation: An Adaptive Exploration-Exploitation Case
Mohsen Raoufi, Heiko Hamann, Pawel Romanczuk
The tradeoff between accuracy and speed is considered fundamental to individual and collective decision-making. In this paper, we focus on collective estimation as an example of co…