Adaptive distributed collective decision making of bio-inspired robotic swarms (EXC 2002 SCIoI P 27)

The project investigates collective decision making in spatially distributed systems inspired by the behavior of biological collectives. Here, we are particularly interested in the ability of agents to change their social decision behavior and their social movement responses adaptively. The main research aim is to understand how these modifications of individual behavior affect collective decision making on adaptive spatial networks, and how these individual-level changes control the speed and accuracy of the collective decision-making process in various scenarios. The research involves two main parts: 1) Implementation of a bio-inspired, spatially-explicit, individual-based model for social movements and collective
decisions, and systematic investigation of the speed-accuracy trade-off through large-scale model simulations. 2) Design and performance of corresponding swarm robotic experiments for collective decision making under physical constraints (communication range, location, environment).

Principal Investigators
Romanczuk, Pawel Dr. (Details) (Junior Research Groups)

Participating external organizations

Financer
DFG-Exzellenzinitiative: Cluster

Duration of Project
Start date: 08/2020
End date: 07/2023

Related umbrella project
01/2019 - 12/2025

Research Areas
Automation, Control Systems, Robotics, Mechatronics, Cyber Physical Systems, Interactive and Intelligent Systems, Image and Language Processing, Computer Graphics and Visualisation, Sensory and Behavioural Biology

Research Areas
Kollektives Verhalten

Last updated on 2020-07-05 at 00:05