About

Marianne Huchard is a leading researcher in software architecture for robotics, with a focus on domain-specific languages and variability management. Her work centers on creating formal, architecture-centric approaches to design and manage complex robotic systems, particularly in autonomous mobile robots and cloud robotics. Huchard's major contributions include the development of CRALA, a domain-specific language for architecture-centric cloud robotics, and a domain-specific architecture description language for autonomous mobile robots, which provide structured frameworks for organizing and configuring hardware and software components. Her research on variability management in cloud robotics addresses the challenge of adapting robotic systems to diverse environments and tasks. With over 16 citations across her most-cited works, Huchard's impact is evident in advancing the field's ability to handle system complexity. Notable achievements include her work on IntelliMove, which enhances robotic planning through semantic mapping, and her pioneering efforts to integrate cloud technologies into robotics, enabling more scalable and flexible architectures. Her contributions are essential for students and researchers seeking to understand how formal architectural models can improve robot design and adaptability.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
CRALA: Towards a domain specific language of architecture-centric Cloud robotics
6 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago