Hardware and software architecture for Plexil-based, simulation supported, robot automation
Some obsolete - but common - practices in the application of fertilizers and pesticides are causing serious environmental problems in Colombia; a situation that could be addressed by combining robotics and modern farming management principles, for example, the Precision Agriculture. This paper descr...
- Autores:
-
Cadavid Rengifo, Héctor Fabio
Chaparro Preciado, Javier Alberto
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2016
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/1806
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/1806
- Palabra clave:
- agriculture
industrial robots
mobile robots
software architecture
Robots industriales
Arquitectura de software
Automatización
Sistemas de detección de robots
Robótica
Robot sensing systems
Automation
Actuators
Software
Adaptation models
Hardware
- Rights
- closedAccess
- License
- https://creativecommons.org/licenses/by/4.0/
Summary: | Some obsolete - but common - practices in the application of fertilizers and pesticides are causing serious environmental problems in Colombia; a situation that could be addressed by combining robotics and modern farming management principles, for example, the Precision Agriculture. This paper describes a novel application of Plexil - an experimental synchronous programming language developed by NASA-for robot automation in agriculture, supported by a simulation platform that allows quick prototyping of an automation plan, and a transparent integration of it on a physical robot. As a result, a methodology for evolutive robot development, and a case study with a real six-wheeled multipurpose agricultural robot are presented. Further applications of the simulation platform as a mean to easily introduce robotics engineers to alternative - and less error prone-programming models are also discussed. |
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