Document details

Child programming: an adequate domain specific language for programming specific robots

Author(s): Leonardo, Pedro Miguel Amado Rodrigues

Date: 2013

Persistent ID:

Origin: Repositório Institucional da UNL

Subject(s): Domain-specific language; Model-driven development; Language engineering; Behavior trees


Due to the limited existence of dedicated robot programming solutions for children (as well as scientific studies), this work presents the design and implementation of a visual domain specific language (DSL), using the Model-Driven Development approach(MDD), for programming robotics and automaton systems with the goal to increase productivity and simplify the software development process. The target audience for this DSL is mostly children with ages starting from 8 years old. Our work implied to use the typical Software Language Engineering life cycle, starting by an elaborate study of the user’s profile, based on work in cognitive sciences, and a Domain analysis. Several visual design paradigms were considered during the design phase of our DSL, and we have focused our studies on the Behavior Trees paradigm, a paradigm intensively used in the gaming industry. Intuitive, simplicity and a small learning curve were the three main concerns considered during the design and development phases. To help validating the DSL and the proposed approach, we used a concrete robotic product for children built with the Open Source Arduino platform as target domain. The last part of this work was dedicated to study the adequacy of the language design choices, compared to other solutions (including commercial technologies), to the target users with different ages and different cognitive-development stages. We have also studied the benefits of the chosen paradigm to domain experts’ proficient on robot programming in different paradigms to determine the possibility to generalize the solution to different user profiles.

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Document Type Master thesis
Language English
Advisor(s) Amaral, Vasco
Contributor(s) Leonardo, Pedro Miguel Amado Rodrigues
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