Antonio Jose de Oliveira Alves
Papers
1
Total Citations
2
H-Index
1
About
Antonio Jose de Oliveira Alves is a researcher whose work centers on autonomous robotics, specifically focusing on navigation and control strategies for dynamic environments. His primary contributions lie in the integration of fuzzy logic systems with potential field methods to enhance robotic decision-making. In his most cited paper, "Velocity and direction planning in a sumo robot type using the method of potential field with fuzzy systems" (2013), Alves developed a novel approach for planning both velocity and direction in autonomous sumo robots, enabling them to effectively navigate environments with moving targets and static obstacles. This work highlights his expertise in combining computational intelligence with real-time robotic control. While his citation count is modest, his research demonstrates a practical application of theoretical concepts to competitive robotics, offering valuable insights for students and researchers interested in fuzzy systems, potential field navigation, and autonomous agent design. Alves’s work contributes to the broader field of intelligent robotics, showcasing how adaptive algorithms can improve robot performance in challenging, dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1