2008 |
11 | EE | Heiko Hamann,
Heinz Wörn,
Karl Crailsheim,
Thomas Schmickl:
Spatial macroscopic models of a bio-inspired robotic swarm algorithm.
IROS 2008: 1415-1420 |
10 | EE | Thomas Schmickl,
Karl Crailsheim:
An Individual-Based Model of Task Selection in Honeybees.
SAB 2008: 383-392 |
9 | EE | Thomas Schmickl,
Karl Crailsheim:
Trophallaxis within a robotic swarm: bio-inspired communication among robots in a swarm.
Auton. Robots 25(1-2): 171-188 (2008) |
8 | EE | Ronald Thenius,
Thomas Schmickl,
Karl Crailsheim:
Optimisation of a honeybee-colony's energetics via social learning based on queuing delays.
Connect. Sci. 20(2&3): 193-210 (2008) |
2006 |
7 | EE | Thomas Schmickl,
Karl Crailsheim:
Bubbleworld.Evo: Artificial Evolution of Behavioral Decisions in a Simulated Predator-Prey Ecosystem.
SAB 2006: 594-605 |
6 | EE | Ronald Thenius,
Thomas Schmickl,
Karl Crailsheim:
Economic Optimisation in Honeybees: Adaptive Behaviour of a Superorganism.
SAB 2006: 725-737 |
5 | EE | Thomas Schmickl,
Karl Crailsheim:
A Navigation Algorithm for Swarm Robotics Inspired by Slime Mold Aggregation.
Swarm Robotics 2006: 1-13 |
4 | EE | Thomas Schmickl,
Christoph Möslinger,
Karl Crailsheim:
Collective Perception in a Robot Swarm.
Swarm Robotics 2006: 144-157 |
3 | EE | Pietro Valdastri,
Paolo Corradi,
Arianna Menciassi,
Thomas Schmickl,
Karl Crailsheim,
Jörg Seyfried,
Paolo Dario:
Micromanipulation, communication and swarm intelligence issues in a swarm microrobotic platform.
Robotics and Autonomous Systems 54(10): 789-804 (2006) |
2005 |
2 | EE | Ronald Thenius,
Thomas Schmickl,
Karl Crailsheim:
The "Dance or Work" Problem: Why Do not all Honeybees Dance with Maximum Intensity.
CEEMAS 2005: 246-255 |
1 | EE | Thomas Schmickl,
Ronald Thenius,
Karl Crailsheim:
Simulating swarm intelligence in honey bees: foraging in differently fluctuating environments.
GECCO 2005: 273-274 |