Title
Instinct: A Biologically Inspired Reactive Planner for Intelligent Embedded Systems
Abstract
The Instinct Planner is a new biologically inspired reactive planner, based on an established behaviour based robotics methodology and its reactive planner component — the POSH planner implementation. It includes several significant enhancements that facilitate plan design and runtime debugging. It has been specifically designed for low power processors and has a tiny memory footprint. Written in C++, it runs efficiently on both Arduino (Atmel AVR) and Microsoft VC++ environments and has been deployed within a low cost maker robot to study AI Transparency. Plans may be authored using a variety of tools including a new visual design language, currently implemented using the Dia drawing package.
Year
DOI
Venue
2019
10.1016/j.cogsys.2018.10.016
Cognitive Systems Research
Keywords
Field
DocType
Reactive planning,Instinct,Arduino,POSH,BOD,Bio-inspired
Communication design,Reactive planning,Planner,Psychology,Arduino,Human–computer interaction,Artificial intelligence,Memory footprint,Robot,Machine learning,Robotics,Debugging
Journal
Volume
ISSN
Citations 
57
1389-0417
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Robert H. Wortham1242.58
Swen E. Gaudl2207.27
Joanna J. Bryson330535.10