Where: Bldg. 9 Lecture Hall 2325 ≤ 154
Credit: 1
Description
Swarm robotics is an approach to the design of multi-robot systems, which takes inspiration from social insects such as bees and ants.
These insects modify their environments by moving resources to suit their needs. In this lecture, Andrew Vardy will present how we are inspired by this behaviour to design systems of robots that organize objects into desired configurations. One such configuration of objects is a single cluster. For example, a swarm of robots could cluster dirt into one pile and hence clean the environment. Slightly more elaborate would be a set of clusters, each containing one type of object. Such a sorted configuration would be useful in recycling and workplace organization tasks. Finally, the desired configuration might have a particular shape, such as a wall or an enclosure.
How are researchers are exploring robot control algorithms?
Additionally, a discussion on how researchers are exploring robot control algorithms that can cluster, sort, and form patterns using objects in the environment will be presented. The approach is innovative and practical in that the focus is on the capabilities of inexpensive robots which can perform these tasks as a collective. Robots with the desired capabilities can be constructed with current off-the-shelf technology for less than $500 each. This talk will also touch base on some recent findings using swarms of robots to organize their environments.
We value your feedback and welcome any comments you may have to help us improve our programs. Make sure you submit the survey after you have attended this event!
Andrew Vardy
Dr. Andrew Vardy is an Associate Professor in Computer Science and Engineering at Memorial University in St. John's, Canada. Dr. Vardy completed his Bachelor degree in electrical engineering with computers and communications option, from Memorial University in 1999. After graduating, he became quite interested in bio-inspired computing and thus pursued a master's degree in evolutionary and adaptive systems from the University of Sussex in Brighton, UK. He continued his PhD studies in computer science from Carleton University in Ottawa. His main research interest is biologically inspired robotics.
No resources found.
No links found.