Instinct:: A Biologically Inspired Reactive Planner for Intelligent Embedded Systems

Robert H. Wortham; Swen E. Gaudl; Joanna J Bryson

doi:10.1016/j.cogsys.2018.10.016

Instinct: A Biologically Inspired Reactive Planner for Intelligent Embedded Systems

Robert H. Wortham, Swen E. Gaudl, Joanna J Bryson

Falmouth University

Research output: Contribution to journal › Article › peer-review

2 Citations (SciVal)

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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 eciently 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.

Original language	English
Pages (from-to)	207-215
Number of pages	9
Journal	Cognitive Systems Research
Volume	57
Early online date	2 Nov 2018
DOIs	https://doi.org/10.1016/j.cogsys.2018.10.016
Publication status	Published - 1 Oct 2019

Keywords

Reactive Planning, Instinct, Arduino, POSH, BOD, Bio-Inspired

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10.1016/j.cogsys.2018.10.016

instinct-plannerAccepted author manuscript, 7.71 MBLicence: CC BY-NC-ND

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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 eciently 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.",

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JO - Cognitive Systems Research

JF - Cognitive Systems Research

ER -

Instinct: A Biologically Inspired Reactive Planner for Intelligent Embedded Systems

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Keywords

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