Gianluca Turco
Papers
2
Total Citations
15
H-Index
2
About
Gianluca Turco’s research sits at the intersection of bio-inspired robotics, perception-based control, and chaotic dynamical systems. His work explores how principles from neurophysiology and psychology can be translated into robotic architectures that mimic the sensing-perception-action loop. In his highly cited 2006 paper, “A new simulation tool for action-oriented perception systems” (8 citations), Turco introduced a computational framework that integrates high-level behavioral theories into robotic perception, moving beyond traditional sensor-driven approaches. His companion paper, “Perception-based navigation through weak chaos control” (7 citations), proposed a novel navigation strategy where perception is modeled as a chaotic attractor whose dynamics shift in response to sensory input. By applying weak chaos control to robots equipped with basic sensors, Turco demonstrated how complex, adaptive behaviors can emerge from simple, biologically plausible rules. Though his citation counts reflect a focused, early-career impact, his contributions are notable for bridging theoretical neuroscience with practical robotics. Turco’s work offers a compelling foundation for researchers interested in how chaotic dynamics can enable more flexible, action-oriented perception in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A new simulation tool for action-oriented perception systems8 citations · 2006
- 2Perception-based navigation through weak chaos control7 citations · 2006