PyDSLRep: A domain-specific language for robotic simulation in V-Rep
Autor:
Jimenez, Andres C.
; Anzola, John
; Garcia-Díaz, Vicente
; González-Crespo, Rubén
; Zhao, Liping
Fecha:
07/2020Palabra clave:
Revista / editorial:
PLoS ONETipo de Ítem:
Articulo Revista IndexadaResumen:
Calculating forward and inverse kinematics for robotic agents is one of the most time-intensive tasks when controlling the robot movement in any environment. This calculation is then encoded to control the motors and validated in a simulator. The feedback produced by the simulation can be used to correct the code or to implement the code can be implemented directly in the robotic agent. However, the simulation process executes instructions that are not native to the robotic agents, extending development time or making it preferable to validate the code directly on the robot, which in some cases might result in severe damage to it. The use of Domain-Specific Languages help reduce development time in simulation tasks. These languages simplify code generation by describing tasks through an easy-to-understand language and free the user to use a framework or programming API directly for testing purposes. This article presents the language PyDSLRep, which is characterized by the connection and manipulation of movement in mobile robotic agents in the V-Rep simulation environment. This language is tested in three different environments by twenty people, against the framework given by V-Rep, demonstrating that PyDSLRep reduces the average development time by 45.22%, and the lines of code by 76.40% against the Python framework of V-Rep.
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
24 |
30 |
30 |
64 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Decentralized online simultaneous localization and mapping for multi-agent systems
Jimenez, Andres C.; García-Díaz, Vicente; González-Crespo, Rubén ; Bolaños, Sandro (Sensors, 08/2018)Planning tasks performed by a robotic agent require previous access to a map of the environment and the position where the agent is located. This creates a problem when the agent is placed in a new environment. To solve ... -
JGraphs: A Toolset to Work with Monte-Carlo Tree Search-Based Algorithms
García-Díaz, Vicente; Núñez-Valdez, Edward Rolando; González García, Cristian; Gómez Gómez, Alberto; González-Crespo, Rubén (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)Monte-Carlo methods are the basis for solving many computational problems using repeated random sampling in scenarios that may have a deterministic but very complex solution from a computational point of view. In recent ... -
Usage of machine learning for strategic decision making at Higher Educational Institutions
Nieto, Yuri; García-Díaz, Vicente; Montenegro, Carlos Enrique; González, Claudio Camilo; González-Crespo, Rubén (IEEE Access, 2019)Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision's structures at HEIs are depicted in this paper and ...