Papers
17
Total Citations
611
H-Index
9
About
G. Orlando is a prominent control systems researcher whose work sits at the intersection of robust control theory, robotics, and nonlinear systems. With a career spanning over two decades, Orlando has made foundational contributions to discrete-time sliding mode control (SMC), developing rigorous theoretical frameworks and validating them through extensive experimental work. His early research addressed the challenging stabilization and trajectory tracking problems of wheeled mobile robots, particularly under nonholonomic constraints and real-world disturbances — work that collectively attracted over 200 citations. A landmark 2002 paper on actuator nonlinearities, including backlash and dead zones, demonstrated that neglecting such effects in control design can severely degrade system performance, offering sliding mode solutions that remain widely referenced with 130 citations. Orlando further advanced the field by integrating neural network techniques — specifically radial basis function networks — with SMC for robotic manipulators, enabling intelligent online adaptation to system uncertainties. His 2012 experimental validation study on manipulator control earned over 100 citations, underscoring its practical relevance. Across his portfolio, Orlando's research consistently bridges rigorous mathematical formulation with real-world implementation, making him a key figure in robust robotics control.
Research Focus
Key Achievements
Top Papers
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- 8Discrete-Time Sliding Mode Control of a Nonholonomic Mobile Robot12 citations · 1998
- 9Robust Control of Robot Arms via Quasi Sliding Modes and Neural Networks11 citations · 2014
- 10Sliding Mode Control for Vision based Leader Following.8 citations · 2007