Anne Vitoria Rodrigues de Souza
Papers
1
Total Citations
2
H-Index
1
About
Anne Vitoria Rodrigues de Souza is a researcher at the forefront of applying reinforcement learning to autonomous robotics, with a particular focus on intelligent navigation and decision-making systems. Her most cited work, "Robot Training and Navigation through the Deep Q-Learning Algorithm" (2021), demonstrates a practical implementation of deep reinforcement learning for vehicular robots tasked with transporting parts in structured environments. By building a decision system around the Deep Q-learning algorithm, Souza has contributed to bridging the gap between theoretical machine learning models and real-world robotic applications, offering a scalable approach to training robots for industrial logistics and material handling. Though her citation count is still growing, her work represents a foundational step in integrating adaptive AI with autonomous navigation, highlighting the potential for robots to learn complex tasks through trial-and-error interaction with their surroundings. Souza’s research is particularly valuable for students and engineers interested in the intersection of robotics, control systems, and deep learning, as it provides a clear case study of how algorithms can be translated into functional robotic behaviors. Her contributions underscore the importance of accessible, reproducible methods in advancing autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Robot Training and Navigation through the Deep Q-Learning Algorithm2 citations · 2021