Raymond A. DeCarlo
Purdue University West Lafayette, University of Illinois Chicago
Papers
4
Total Citations
90
H-Index
3
About
Raymond A. DeCarlo is a prominent researcher specializing in hybrid systems, model predictive control (MPC), and autonomous robotics, with particularly influential contributions to the stabilization and control of wheeled mobile robots (WMRs). His most cited work, "Hybrid Model Predictive Control for the Stabilization of Wheeled Mobile Robots Subject to Wheel Slippage" (2013, 49 citations), addresses the challenging traction control problem by modeling WMRs under slippage as hybrid systems and developing computationally tractable MPC strategies — a contribution he refined across multiple publications. DeCarlo has also made meaningful strides in autonomous aerial systems, proposing innovative transformations of logical constraints in hybrid optimal control to bypass the combinatorial complexity traditionally associated with mixed-integer programming, as demonstrated in his UAV path planning work (2008, 21 citations). Notably, his research extends into assistive technology, applying MPC and notch filtering to powered wheelchairs to mitigate the debilitating effects of Parkinson's tremors. Across his portfolio, DeCarlo consistently bridges rigorous control theory with real-world engineering challenges, making his work valuable reading for students and researchers working at the intersection of robotics, hybrid systems, and applied optimal control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4