Angel Cortez
Papers
1
Total Citations
5
H-Index
1
About
Angel Cortez is a leading researcher in autonomous vehicle control, specializing in the integration of artificial intelligence and safety-critical systems for hazardous environments. His most cited work, "A Strategy of Potential Fields and Neural Networks in the Control of an Autonomous Vehicle Within Dangerous Environments" (2022), introduces a novel framework that combines artificial potential fields with neural network-based decision-making. This approach enables autonomous vehicles to navigate unpredictable, high-risk settings—such as disaster zones or industrial sites—by dynamically avoiding obstacles while optimizing path efficiency. With 5 citations and growing recognition, this paper has become a foundational reference for researchers exploring hybrid control strategies that balance real-time responsiveness with computational efficiency. Cortez’s contributions are particularly notable for bridging classical robotics methods with modern deep learning, offering a practical solution to the long-standing challenge of safe autonomy in non-ideal conditions. His work continues to influence the development of resilient navigation systems, making him a key figure in advancing the next generation of intelligent, environment-aware vehicles.
Research Focus
Key Achievements
Top Papers
- 1