Rafael Gomes da Silva
Papers
2
Total Citations
5
H-Index
2
About
Rafael Gomes da Silva is a robotics researcher specializing in autonomous navigation and obstacle avoidance for off-road mobile robots. His work centers on developing efficient path planning algorithms that enable vehicles to navigate complex, unstructured environments safely. His major contribution lies in the use of Bézier curves for local obstacle-skirting path planning, as demonstrated in his most-cited paper, "Local Obstacle-Skirting Path Planning for a Fast Bi-steerable Rover using Bézier Curves" (2020, 3 citations). This approach calculates smooth, dynamically feasible alternative paths when a safety distance is violated, allowing the rover to deviate from its global reference path and then seamlessly return to it. His related work, "Obstacle detection and avoidance for a mobile robot" (2020, 2 citations), further explores sensor-based perception and reactive control. Though his citation counts are modest, his research addresses a critical challenge in field robotics—real-time, computationally efficient navigation—and contributes to the development of more autonomous and resilient off-road vehicles. His focus on bi-steerable platforms and cubic Bézier curves offers a practical solution for high-speed, agile rover navigation in demanding terrains.
Research Focus
Key Achievements
Top Papers
- 1
- 2Obstacle detection and avoidance for a mobile robot2 citations · 2020