Albert Peiret
Papers
1
Total Citations
15
H-Index
1
About
Albert Peiret is a researcher whose work lies at the intersection of robotics, multibody dynamics, and co-simulation. His primary research areas include model-based coupling techniques for complex robotic systems and the simulation of contact tasks. Peiret’s major contribution is the development of non-iterative coupling methods that enable independent, modular simulation of robotic components—each modeled with its own specialized tools and time-scales—while maintaining accuracy and stability. This approach is particularly valuable for robotic contact tasks, where traditional co-simulation often struggles with numerical issues. His most-cited paper, “Model-Based Coupling for Co-Simulation of Robotic Contact Tasks” (2020), has garnered 15 citations, reflecting its growing influence in the field. Peiret’s work is notable for bridging the gap between theoretical multibody dynamics and practical robotic applications, offering a flexible framework that simplifies the implementation of complex, multi-component systems. His research is especially relevant for students and engineers working on modular robot design, real-time simulation, and advanced control strategies.
Research Focus
Key Achievements
Top Papers
- 1Model-Based Coupling for Co-Simulation of Robotic Contact Tasks15 citations · 2020