[Tweets]

20/04/2018 6:16pm
DART: Noise injection for robust imitation learning via @Robohub [LINK]
18/04/2018 12:44am
RT @UomRobotics: Check out Festo's New Bionic Robots Include Rolling Spider, Flying Fox [LINK] @Festo are real world leade…
17/04/2018 8:47pm
A new exciting #postdoc position in #swarm #robotics at @unisouthampton [LINK]
12/04/2018 12:24am
RT @wjscheirer: Pre-print of the long awaited position paper: "The Limits and Potentials of Deep Learning for Robotics." Provocative stuff…

[Boid Game-Playing]

Date: Oct 2012
Tags: A-Life :: AI :: Java :: swarm

Simulation of boids The original boid flocking algorithm is extended by adding randomised movement to the flock members.

This approach is a light-weight alternative to other ‘follow the leader’ techniques implemented in order to create a ‘game-playing’ behaviour during which a flock changes its movement direction as observed in real birds.

DOWNLOAD PAPER
RUN JAVA APPLET
DOWNLOAD CODE


{Please enable JavaScript in order to post comments}

[You might also be intested in...]

Starting my PhD Next Week
I have finally finished making my studio in Southmapton at least decently homey as I am starting my PhD programme on Tuesday. I met some of my classmates yesterday (Saturday) during a barbeque and I am very excited about our future discussions and beer drinking.
Ultrastable Neuroendocrine Robot Controller
Attributes of ultrastability as an adaption mechanism in a hormone-modulated neural robot controller were investigated in a simulation. Action-selection based on hormone-driven utilities of memory items was used to alternate between mineral gathering and recharging.
Robot Flocking: Sensors and Control
This paper discusses various kinds of robot sensory input, approaches to motor control and ways they could be used for flocking. Focus is put on vision and Gibsonian optic flow that could be utilised by robots with advanced behaviour.
V-REP, Gazebo or ARGoS? A robot simulators comparison
Let’s have a look at three commonly used open-source simulators for robotics: V-REP, Gazebo and ARGoS, to find out which one suits your project the best.
Designing Effective Roadmaps for Robotics Innovation
Automated factories, autonomous delivery drones, self-driving cars: these and similar technologies will soon touch every aspect of our lives. An engaging discussion about how these technologies are regulated and innovated took place at the IROS 2017 conference.
The Information-Cost-Reward framework for understanding robot swarm foraging
The Information-Cost-Reward (ICR) framework relates the way in which robots obtain and share information about where work needs to be done to the swarm’s ability to exploit that information in order to perform work efficiently in the context of a particular task and environment.