MORSE 2016
Date: Jul 01, 2016 6:00 am – Jul 01, 2016 5:00 pm
Location: Leipzig, Germany
MORSE 2016 - Third Workshop on Model-Driven Robot Software Engineering
MORSE'16 is co-located with the RoboCup 2016.
RoboCup Date: June 30 - July 4 2016
Workshop Date: July 1, 2016
Location: Messe Leipzig, Leipzig, Germany
Website: http://st.inf.tu-dresden.de/MORSE16
Robots are an indispensable part of modern production facilities. In the future, robots will also become more common in daily life. Currently, however, there is a lack of standardization w.r.t. hardware/software platforms for robots, leading to a vast landscape of isolated, incompatible, task-specific and, thus, non-reusable solutions. Consequently, there is a need for new engineering methodologies for the design, implementation and execution of software for robotic platforms.
Model-Driven Robot Software Engineering (MORSE) is a promising research field combining Software Engineering and Robotics. Its objectives are to introduce model-driven development methodologies for the development of robot software. At the same time, formal methods should be transferred to robotics because "robot apps" must be certified and verified. MORSE attempts to fill this gap.
Topics:
Robotic Platforms: MDA, Models, Processes and Tools
- Hardware/Software Abstractions | Architectures | Metamodels
- Code- and Application-Reuse | Managed Redundancy | Deployment
- Variability in Robotic Systems | Self-Adaptive Systems | Evolution
- Programming Languages | Paradigms | Models | DSLs
Models for and Modelling in Robotics
- Sensors and Actuators | Sensor Integration
- Computer Vision and Image Processing | Recognition and Tracking
- Knowledge Representation and Reasoning | Context Models
- Ontologies and Conceptual Modeling
- Localization, Mapping and Navigation
- Autonomous Robots | Robot Learning and Artificial Intelligence Robot Ecosystems and Total Cost of Ownership
- Product-Line Development
- End-User Customization | Multi-Tenancy Model-Driven Quality Assurance of Robotic Systems
- Verification | Validation | Testing | Simulation | Debugging | Profiling
- Handling Emergent Behavior and Uncertainty | Software Qualities Multi-Robot Systems
- Cooperative Perception | Planning | Task Allocation | Coordination
- Robot Swarms | Multi-Agent Robotic Systems
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MORSE 2016 - Third Workshop on Model-Driven Robot Software Engineering
MORSE'16 is co-located with the RoboCup 2016.
RoboCup Date: June 30 - July 4 2016
Workshop Date: July 1, 2016
Location: Messe Leipzig, Leipzig, Germany
Website: http://st.inf.tu-dresden.de/MORSE16
Robots are an indispensable part of modern production facilities. In the future, robots will also become more common in daily life. Currently, however, there is a lack of standardization w.r.t. hardware/software platforms for robots, leading to a vast landscape of isolated, incompatible, task-specific and, thus, non-reusable solutions. Consequently, there is a need for new engineering methodologies for the design, implementation and execution of software for robotic platforms.
Model-Driven Robot Software Engineering (MORSE) is a promising research field combining Software Engineering and Robotics. Its objectives are to introduce model-driven development methodologies for the development of robot software. At the same time, formal methods should be transferred to robotics because "robot apps" must be certified and verified. MORSE attempts to fill this gap.
Topics:
Robotic Platforms: MDA, Models, Processes and Tools
- Hardware/Software Abstractions | Architectures | Metamodels
- Code- and Application-Reuse | Managed Redundancy | Deployment
- Variability in Robotic Systems | Self-Adaptive Systems | Evolution
- Programming Languages | Paradigms | Models | DSLs
Models for and Modelling in Robotics
- Sensors and Actuators | Sensor Integration
- Computer Vision and Image Processing | Recognition and Tracking
- Knowledge Representation and Reasoning | Context Models
- Ontologies and Conceptual Modeling
- Localization, Mapping and Navigation
- Autonomous Robots | Robot Learning and Artificial Intelligence Robot Ecosystems and Total Cost of Ownership
- Product-Line Development
- End-User Customization | Multi-Tenancy Model-Driven Quality Assurance of Robotic Systems
- Verification | Validation | Testing | Simulation | Debugging | Profiling
- Handling Emergent Behavior and Uncertainty | Software Qualities Multi-Robot Systems
- Cooperative Perception | Planning | Task Allocation | Coordination
- Robot Swarms | Multi-Agent Robotic Systems