The Seventh International Workshop on Domain-Specific Languages and Models for Robotic Systems (DSLRob-17) will take place April 12-17, 2017 in Taichung (Taiwan), as part of the first IEEE Robotic Computing conference.
After the overwhelming push towards the design of robotics software platforms (e.g. ROS, Orocos, SmartSoft, OpenRTM, etc.) we now need to make robotics programming and configuration as accessible as possible to application domain experts. Domain-Specific Languages (DSLs) and Model-driven Engineering (MDE) are emerging areas of interest in the robotics research community, which have been instrumental for resolving complex issues in a wide range of domains (e.g. distributed and modular robotics, control, and vision) and have the potential for significantly facilitating how robots are programmed.
A domain-specific language (DSL) is a programming language dedicated to a particular problem domain that offers specific notations and abstractions, which, at the same time, decrease the coding complexity and 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. They have however recently garnered interest as a separate field of study; this workshop investigates DSLs and models for robotics.
The workshop will focus on the use of Domain-Specific Languages and Models for Robotic Systems. The challenge of building complex systems that compose several lower-level models or domain-specific languages is considered of special interest this year. Moreover, topics that are of interest for the workshop include:
DSLs targeting specific application domains, such as service robots, automation, biomedical, autonomous vehicles (land, sea, air), and modular robots.
DSLs addressing specific technical challenges, such as system integration, AI, sensor/actuator networks, distributed and cloud robotics, perception, sensor information, human robot interaction, uncertainty, modeling of physical systems, and real-time constraints.
DSLs providing alternative programming models, such as reactive behaviors, composition of behaviors, motion description languages (MDL), and cooperative robotics.
Models to represent robotics software architectures and their variability.
Runtime models for reasoning and dynamic adaptation.
Surveys of the use of DSLs in specific subdomains of robotics.
Tool support and frameworks for describing and manipulating DSLs and models for robotic systems.
Code generation and code transformation for robotics systems.
Frameworks to combine DSLs and models in a uniform manner.
Case studies on the use of DSLs in advanced robotics systems.
Benchmarks to compare the use of DSLs versus the use of general-purpose programming languages.
Programming languages in the context of robotic systems, such as dynamic languages, languages to teach robotics, and visual languages.
04月10日
2017
04月12日
2017
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2015年09月28日 德国
第六届国际领域特定语言和机器人系统模型研讨会
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