Piero Espino
Papers
1
Total Citations
4
H-Index
1
About
Piero Espino is a robotics researcher whose work centers on the kinematic control and optimization of wheeled mobile systems, with a particular focus on two-wheeled vehicles. His most notable contribution is the development of an infinite-norm algorithm for joystick-based control, which mathematically optimizes traction power and trajectory smoothness. By applying the p-norm concept, Espino’s algorithm can theoretically deliver 100% of available power to each actuator, a significant advancement for real-time control in constrained environments. While his most-cited paper has garnered 4 citations, the work demonstrates foundational thinking in control theory that bridges mathematical norms with practical robotic applications. Espino’s research sits at the intersection of nonlinear control, human-robot interaction, and vehicle dynamics, offering insights for designers of agile, joystick-operated platforms. His approach prioritizes both efficiency and precision, making his contributions relevant to fields ranging from assistive mobility devices to autonomous ground vehicles.
Research Focus
Key Achievements
Top Papers
- 1