Iuro B. P. Nascimento
Papers
2
Total Citations
6
H-Index
1
About
Iuro B. P. Nascimento is a robotics and control systems researcher whose work focuses on safe autonomous navigation and aerial vehicle simulation. His most notable contribution is the development of a Nonlinear Model Predictive Control (NMPC) strategy that uses polynomial zonotopes to enable safe robot navigation in unknown, cluttered environments. This approach, detailed in his 2023 paper, leverages laser sensor data to compute collision-free areas by splitting the environment into convex subregions—a technique that has already garnered 5 citations for its practical relevance to real-time robotic safety. Nascimento is also the lead developer of the ProVANT Simulator, a comprehensive UAV platform built on the Gazebo physics engine and integrated with the Robot Operating System (ROS). This tool supports reliable Software-in-the-Loop (SIL) and hardware-in-the-loop testing, making it invaluable for control algorithm development. His work bridges theoretical control methods with deployable simulation tools, offering researchers and students a robust foundation for advancing autonomous systems in uncertain environments.
Research Focus
Key Achievements
Top Papers
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