[Tweets]

12/02/2018 11:18am
Indeed! [LINK]
08/02/2018 4:07pm
The advert video for @iros_2018 is really good! I wish robots really served coffee at the conference [LINK]
07/02/2018 10:10am
RT @NatureEcoEvo: Cockroach and termite genomes reveal molecular basis of termite eusociality [LINK] [LINK]
06/02/2018 1:29pm
Robotics for Nuclear Environments - a really cool website for a really cool project that I am currently a part of a… [LINK]
02/02/2018 8:09pm
RT @RIFBristol: Everything you need to know about Bristol’s sci-tech scene [LINK] via @siliconrepublic [LINK]

[Foraging Strategies Application to Robotics]

Project: Designing Robot Swarms
Date: Mar 2013
Tags: A-Life :: AI :: robotics :: swarm

While foraging is a task often experimented with in swarm robotics, it is often the case that foraging strategies inspired by nature are chosen without careful consideration.

Proposed foraging strategies in different tasks

This paper reviews how food acquisition is solved by various biological species including ants, termites, bees, hyenas, wolves, lions, dolphins, whales and humans. Foraging strategies including solitary foraging, behavioural matching, stigmergy, signaling to guide others and coordinated and cooperative hunting are identified and their implementation costs in robots, as well as their suitability for different scenarios is discussed.

DOWNLOAD PAPER
Outcome:
Careful consideration of a foraging task can both increase a robotic swarm's efficiency and make its implementation costs more reasonable.



{Please enable JavaScript in order to post comments}

[You might also be intested in...]

The Centralised Mindset and Complexity Science
Humans tend to explain decentralised phenomena as being caused by a single entity. This way of thinking is often referred to as 'the centralised mindset'. Several authors propose that using programming environments where creation of decentralised agent-based systems is easy...
Boid Game-Playing through Randomised Movement
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.
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.
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.