Abstract | ||
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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. Wortham | 1 | 24 | 2.58 |
Swen E. Gaudl | 2 | 20 | 7.27 |
Joanna J. Bryson | 3 | 305 | 35.10 |