Marcelo A. Santos
Papers
4
Total Citations
32
H-Index
3
About
Marcelo A. Santos is a researcher at the forefront of autonomous multi-robot systems and control engineering. His work centers on the intersection of supervisory control theory, discrete event systems (DES), and model predictive control to solve complex navigation challenges. Santos’s major contributions include pioneering a hybrid architecture for multi-robot navigation that integrates centralized task scheduling with individual robot control using Supervisory Control Theory (SCT), as detailed in his most-cited paper (2019, 13 citations). He has further advanced the field with distributed supervisory control strategies for single-robot tasks (2022, 8 citations) and nonlinear model predictive control schemes for obstacle avoidance (2023, 10 citations). Notably, Santos co-developed the ProVANT Simulator (2025), a cutting-edge virtual platform for Unmanned Aerial Vehicles (UAVs) built on Gazebo and ROS, enabling reliable Software-in-the-Loop testing. With a growing citation impact and a focus on scalable, safe autonomous systems, Santos’s work is shaping the future of collaborative robotics and aerial vehicle control.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Navigation of Multiple Robots using Supervisory Control Theory13 citations · 2019
- 2Nonlinear Model Predictive Control Schemes for Obstacle Avoidance10 citations · 2023
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