Samuele Giussani
Papers
1
Total Citations
11
H-Index
1
About
Samuele Giussani is a researcher at the forefront of intelligent robotics, specializing in self-adaptive systems, digital twin technology, and advanced control for robotic manipulators. His work addresses a critical challenge: enabling robots to maintain high performance—efficiency, accuracy, and safety—in unstructured and uncertain environments. Giussani’s major contribution lies in integrating adaptive controllers with digital twins, creating a framework that allows robots to continuously update their situational awareness and autonomously adjust their behavior in real time. His most-cited paper, “Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators” (2023), has already garnered 11 citations, reflecting its timely impact on the field. This work exemplifies his broader research into self-adaptive systems, where robots are designed to dynamically respond to changing conditions without human intervention. By bridging the gap between theoretical control systems and practical robotic applications, Giussani is helping to shape the next generation of autonomous, resilient robots for manufacturing, exploration, and beyond. His contributions are paving the way for smarter, more reliable automation in complex real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators11 citations · 2023