In this work we investigate spatial collective decision-making in a swarm of microrobots, inspired by the thermotactic aggregation behavior of honeybees. The sensing and navigation capabilities of these robots are intentionally limited; no digital sensor data processing and no direct communication are allowed. In this way, we can approximate the features of smaller mesoscopic-scale systems and demonstrate that even such a limited swarm is nonetheless able to exhibit simple forms of intelligent and adaptive collective behavior
In this chapter, we present and discuss a number of types of fundamental collective behaviors studie...
To effectively perform collective monitoring of dynamic environments, a robot swarm needs to adapt t...
Social insect colonies show all characteristics of complex adaptive systems (CAS). Their complex beh...
In swarm robotics, the control of a group of robots is often fully distributed and does not rely on ...
In swarm robotics, large groups of relatively simple robots cooperate so that they can perform tasks...
In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in...
We demonstrate the derivation of a powerful and simple, as well as robust and flexible algorithm for...
In swarm robotics, large groups of relatively simple robots cooperate so that they can perform tasks...
One of the main tasks for autonomous robot swarms is to collectively decide on the best available op...
Designing and controlling the collective behavior of a swarm often requires complex range, bearing s...
We investigate decentralised decision-making, in which a robot swarm is tasked with selecting the be...
Swarm robotics is the collaboration of a large number of robots to accomplish a set of specified tas...
Value-sensitive decision-making is an essential task for organisms at all levels of biological comp...
We study a self-organized collective decision-making strategy to solve a site-selection problem usin...
This thesis is concerned with the design and analysis of behaviors in swarm robotic systems using mi...
In this chapter, we present and discuss a number of types of fundamental collective behaviors studie...
To effectively perform collective monitoring of dynamic environments, a robot swarm needs to adapt t...
Social insect colonies show all characteristics of complex adaptive systems (CAS). Their complex beh...
In swarm robotics, the control of a group of robots is often fully distributed and does not rely on ...
In swarm robotics, large groups of relatively simple robots cooperate so that they can perform tasks...
In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in...
We demonstrate the derivation of a powerful and simple, as well as robust and flexible algorithm for...
In swarm robotics, large groups of relatively simple robots cooperate so that they can perform tasks...
One of the main tasks for autonomous robot swarms is to collectively decide on the best available op...
Designing and controlling the collective behavior of a swarm often requires complex range, bearing s...
We investigate decentralised decision-making, in which a robot swarm is tasked with selecting the be...
Swarm robotics is the collaboration of a large number of robots to accomplish a set of specified tas...
Value-sensitive decision-making is an essential task for organisms at all levels of biological comp...
We study a self-organized collective decision-making strategy to solve a site-selection problem usin...
This thesis is concerned with the design and analysis of behaviors in swarm robotic systems using mi...
In this chapter, we present and discuss a number of types of fundamental collective behaviors studie...
To effectively perform collective monitoring of dynamic environments, a robot swarm needs to adapt t...
Social insect colonies show all characteristics of complex adaptive systems (CAS). Their complex beh...