Papers
29
Total Citations
676
H-Index
13
About
Gustavo Scaglia is an Argentine control systems researcher whose work sits at the intersection of robotics, autonomous vehicles, and applied mathematics. He is best known for pioneering a linear algebra and numerical methods-based framework for trajectory tracking control — a methodology elegant in its generality, allowing a single design philosophy to be adapted across radically different mobile platforms without requiring complete redesign when system models change. Scaglia's most influential contribution, his 2013 paper on underactuated surface vessels (120 citations), extended this framework beyond ground robotics to marine systems, demonstrating its broad applicability. His earlier foundational works on mobile robot control (2008–2009, totaling over 125 citations combined) established the core methodology, while subsequent papers expanded its reach to multi-robot formations, dynamic environments, quadrotor helicopters, and three-dimensional autonomous vehicle coordination. What distinguishes Scaglia's body of work is its practical orientation — papers frequently include experimental validation and direct comparisons against established techniques like PID and sliding mode control. With over 495 citations across his most recognized publications, his research has meaningfully advanced the field of autonomous vehicle guidance, offering students and engineers alike a unified, mathematically tractable approach to one of robotics' most persistent challenges.
Research Focus
Key Achievements
Top Papers
- 1Trajectory Tracking of Underactuated Surface Vessels: A Linear Algebra Approach120 citations · 2013
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- 4Numerical methods based controller design for mobile robots50 citations · 2008
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- 63D Formation Control of Autonomous Vehicles Based on Null-Space36 citations · 2016
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