Felippe Schmoeller Roza

Universidade Federal de Santa Catarina, Fraunhofer Institute for Cognitive Systems

Papers

Total Citations

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About

Felippe Schmoeller Roza is a robotics researcher whose work bridges practical hardware design and cutting-edge artificial intelligence for autonomous systems. His research primarily focuses on mobile robotics, autonomous navigation, and the application of reinforcement learning to real-world robotic control. Roza’s early work demonstrated a strong engineering foundation with the development of a modular mobile robot platform adapted for beach cleaning, showcasing his commitment to creating robust, purpose-driven robotic solutions for environmental challenges. This foundational project, cited 8 times, highlights his ability to translate complex mechanical design into tangible, socially beneficial applications. More recently, Roza has made significant contributions to the field of safe autonomous navigation. His 2022 paper on "Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning" (6 citations) addresses a critical challenge in deploying autonomous robots: ensuring safety while leveraging the power of deep reinforcement learning. By introducing a hierarchical framework with explicit safety constraints, his work provides a pathway for robots to navigate complex, high-dimensional environments without compromising on operational security. This research is particularly impactful for students and engineers seeking to integrate learning-based control with robust safety guarantees, positioning Roza as a forward-thinking contributor to the next generation of intelligent, dependable robotic systems.