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About

Jessivaldo Santos is a robotics researcher whose work centers on the control and coordination of omnidirectional mobile robots, with a particular focus on networked systems and formation control. His most influential contribution is the development of control strategies that address the challenges of time-varying delays and noise attenuation in remote robot operation, as demonstrated in his 2018 paper (28 citations). Santos has made significant advances in trajectory tracking by combining Model Predictive Control (MPC) with a Filtered Smith Predictor, a novel approach that effectively handles process delays in networked control schemes (19 citations). His research extends to multi-robot systems, where he developed a decentralized nonlinear model predictive controller for formation control, enabling both fixed and time-varying formations among groups of omnidirectional robots (9 citations). Earlier in his career, Santos contributed to practical implementation by developing a low-cost microprocessed system for real-time mobile robot control, employing a cascade control architecture with discrete PI controllers at the wheel level and kinematic control at the system level. His work bridges theoretical control methods with practical robotic applications, making him a notable figure in the field of mobile robotics and networked control systems.