TY - GEN
T1 - Architecture modeling and analysis language for designing robotic architectures
AU - Ramaswamy, Arunkumar
AU - Monsuez, Bruno
AU - Tapus, Adriana
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In recent times, researchers in robotics have arrived at a consensus that there is no single efficient architecture or framework that satisfies all aspects of robotic system design. A majority of robotic architectures currently in use are developed in-house to meet the specific objectives of the research group. However, these frameworks have been designed in an ad-hoc manner and thus restricts reusability and scalability. In this paper, we propose an architecture description language 'Architecture Modeling and Analysis Language (AMAL)' that homogenizes the framework development process in a formal way. AMAL is a radical approach that enables framework development based on custom requirements or by integrating existing heterogeneous architectural paradigms. The Open Semantics Framework in AMAL facilitates domain knowledge integration and promotes separation of concerns to build complex systems. We also position our approach in the SafeRobots framework, a model-driven software development tool-chain for robotics.
AB - In recent times, researchers in robotics have arrived at a consensus that there is no single efficient architecture or framework that satisfies all aspects of robotic system design. A majority of robotic architectures currently in use are developed in-house to meet the specific objectives of the research group. However, these frameworks have been designed in an ad-hoc manner and thus restricts reusability and scalability. In this paper, we propose an architecture description language 'Architecture Modeling and Analysis Language (AMAL)' that homogenizes the framework development process in a formal way. AMAL is a radical approach that enables framework development based on custom requirements or by integrating existing heterogeneous architectural paradigms. The Open Semantics Framework in AMAL facilitates domain knowledge integration and promotes separation of concerns to build complex systems. We also position our approach in the SafeRobots framework, a model-driven software development tool-chain for robotics.
U2 - 10.1109/ICARCV.2014.7064608
DO - 10.1109/ICARCV.2014.7064608
M3 - Conference contribution
AN - SCOPUS:84949925900
T3 - 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
SP - 1911
EP - 1916
BT - 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Y2 - 10 December 2014 through 12 December 2014
ER -