Over-the-Air Updates for Robotic Swarms
Vivek Shankar Varadharajan, David St-Onge, Christian Guss, Giovanni Beltrame
- Year
- 2018
- Citations
- 8
Abstract
Along with the growing number of robotic devices introduced by automation and the Internet of Things has come the growth of interest in methods and tools for deploying code updates to active sensor arrays and swarms of robots. This article presents a toolset that can perform an over-the-air code update of the robots in a swarm while the swarm is active, without interrupting the swarm’s mission. Each update is generated as a patch of the currently deployed code. A consensus mechanism borrowed from swarm intelligence ensures that, at any given time, all robots in the swarm run the same code version. Simulations were conducted with thousands of units to study the scalability and bandwidth consumption of the update process. Real deployment experiments were then performed on a small swarm of commercial quadcopters. This article is part of a theme issue on release engineering.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002