Lorenzo Pollini
Papers
12
Total Citations
103
H-Index
6
About
Lorenzo Pollini is an Italian researcher whose work spans two compelling domains: advanced motion simulation systems and autonomous marine robotics. He is perhaps best known for his pioneering contributions to flight simulator technology, where he challenged the dominance of traditional Stewart platform designs by proposing anthropomorphic serial manipulators as more capable motion platforms. His two-part framework for closed-loop robotic motion simulation — garnering 27 and 21 citations respectively — established both the inverse kinematics foundations and the motion cueing algorithms necessary to make this vision a practical reality, with the MPI Motion Simulator project serving as a landmark experimental validation. His earlier exploratory studies from 2006 and 2008 laid the conceptual groundwork that made these later advances possible. Beyond flight simulation, Pollini has made notable contributions to marine autonomy, participating in the European H2020 WiMUST project and ISME's collaborative research on autonomous surface and underwater vehicles for geophysical surveying. His work on hybrid simulators for underwater vehicles with manipulators reflects a sophisticated integration of robotics and hydrodynamic modeling. Additional contributions in fuzzy guidance systems for unmanned ground vehicles further demonstrate the breadth of his expertise. Across robotics, simulation, and autonomous systems, Pollini's research consistently bridges rigorous theory with real-world experimental validation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Fuzzy Guidance for Unmanned Ground Vehicles: Theory and Experiments4 citations · 2007
- 8
- 9
- 10Towards Real-Time Aircraft Simulation with the MPI Motion Simulator3 citations · 2009