Danilo Samuel Jodas
Papers
1
Total Citations
17
H-Index
1
About
Danilo Samuel Jodas is a researcher whose work lies at the intersection of artificial intelligence, mobile robotics, and precision agriculture. His most-cited paper, "Comparing Support Vector Machines and Artificial Neural Networks in the Recognition of Steering Angle for Driving of Mobile Robots Through Paths in Plantations" (2013, 17 citations), demonstrates his early and impactful contribution to autonomous navigation in challenging environments. This study systematically compared machine learning classifiers for steering control, advancing the use of mobile robots in plantations—a domain where human intervention is often hazardous or impractical. By focusing on path recognition in agricultural settings, Jodas addressed critical challenges in field robotics, from rescue operations to space exploration. His work has been cited by researchers developing autonomous systems for unstructured terrains, underscoring its relevance to both robotics and agricultural technology. Jodas’s research continues to influence the design of intelligent, adaptive robots capable of operating safely in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1