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About

Tito L.M. Santos is a leading researcher in mobile robotics and networked control systems, with a focus on trajectory tracking, obstacle avoidance, and time-delay compensation. His most cited work, "Remote control of an omnidirectional mobile robot with time-varying delay and noise attenuation" (2018, 28 citations), addresses critical challenges in teleoperation over unreliable networks. Santos is best known for integrating Model Predictive Control (MPC) with a Filtered Smith Predictor (FSP) to enable precise trajectory tracking for omnidirectional robots under communication delays—a contribution detailed in his 2017 paper (19 citations). This approach effectively decouples delay compensation from disturbance rejection, a significant advance for networked robotics. He also proposed a novel method for overcoming local minima in Artificial Potential Field (APF) path planning (2016, 6 citations), improving autonomous navigation in cluttered environments. With a cumulative citation count exceeding 50, Santos’s work bridges theoretical control design and practical robotic applications, offering robust solutions for real-world deployment. His research is particularly valuable for students and engineers working on autonomous vehicles, teleoperation, and delay-prone networked systems.