Proceedings of the Second International Workshop on Domain-Specific Languages and Models for Robotic Systems (DSLRob 2011)

TL;DR

This workshop proceedings discusses the development and application of domain-specific languages and models tailored for robotic systems, aiming to improve programming productivity and system specification at appropriate abstraction levels.

Contribution

It highlights recent advances in DSLs and model-driven development specifically designed for robotics, emphasizing their potential to address complex system challenges.

Findings

DSLs increase programming productivity in robotics

Models enable high-level system specifications

DSLs and models help manage complexity and crosscutting concerns

Abstract

Proceedings of the Second International Workshop on Domain-Specific Languages and Models for Robotic Systems (DSLRob'11), held in conjunction with the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), September 2011 in San Francisco, USA. The main topics of the workshop were Domain-Specific Languages (DSLs) and Model-driven Software Development (MDSD) for robotics. A domain-specific language (DSL) is a programming language dedicated to a particular problem domain that offers specific notations and abstractions that increase programmer productivity within that domain. Models offer a high-level way for domain users to specify the functionality of their system at the right level of abstraction. DSLs and models have historically been used for programming complex systems. However recently they have garnered interest as a separate field of study. Robotic systems blend hardware and software in a holistic way that intrinsically raises many crosscutting concerns (concurrency, uncertainty, time constraints, ...), for which reason, traditional general-purpose languages often lead to a poor fit between the language features and the implementation requirements. DSLs and models offer a powerful, systematic way to overcome this problem, enabling the programmer to quickly and precisely implement novel software solutions to complex problems