Papers
7
Total Citations
185
H-Index
4
About
Selma Kchir’s research lies at the intersection of robotics, human-robot collaboration, and smart manufacturing, with a focus on making industrial automation more flexible, accessible, and human-centered. Her most influential contribution is the development of RobotML, a domain-specific language that enables engineers to design, simulate, and deploy robotic applications more efficiently—a foundational tool that has garnered 146 citations and continues to shape how complex robotic systems are modeled. Kchir has also advanced the concept of self-organizing production cells, proposing a global framework that allows factories to reconfigure autonomously in response to new devices or tasks, a key step toward truly flexible manufacturing. In the realm of physical human-robot collaboration, she pioneered the use of reinforcement learning to personalize assistance, dynamically adapting robot behavior to improve workers’ skills and well-being. Her work on sustainable manufacturing further addresses the cost barriers faced by small and medium enterprises, offering practical pathways to automation without prohibitive investment. With recent explorations into statistical model checking for robust autonomous systems, Kchir continues to push the boundaries of dependable, adaptive robotics.
Research Focus
Key Achievements
Top Papers
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- 6Towards Robust Autonomous Robots Using Statistical Model Checking2 citations · 2024
- 7A Top-Down Approach to Managing Variability in Robotics Algorithms2 citations · 2013