Pereira Saramago
Papers
1
Total Citations
4
H-Index
1
About
Pereira Saramago is a researcher whose work centers on robotics, specifically robot path planning and obstacle avoidance for articulated manipulators. His most-cited paper, "ROBOT PATH PLANNING: AVOIDING OBSTACLES" (2005), has garnered 4 citations and addresses a fundamental challenge in robotics: enabling programmable, versatile robotic arms to navigate complex environments without collisions. Saramago’s contributions lie in developing trajectory optimization methods that enhance robot adaptability for repetitive tasks in industrial or operational settings, where spatial constraints from obstacles demand precise motion planning. While his citation count is modest, his work underscores the practical importance of efficient path algorithms for improving robot autonomy and safety. Saramago’s research reflects a focus on bridging theoretical kinematics with real-world applications, offering insights for students and engineers interested in robotic manipulation, automation, and the ongoing quest to make robots more flexible in constrained workspaces. His efforts contribute to the broader field of intelligent systems, where even foundational studies like his help pave the way for more advanced, obstacle-aware robotic behaviors.
Research Focus
Key Achievements
Top Papers
- 1ROBOT PATH PLANNING: AVOIDING OBSTACLES4 citations · 2005