Marsil de Athayde Costa e Silva
Papers
1
Total Citations
19
H-Index
1
About
Marsil de Athayde Costa e Silva is a researcher whose work sits at the intersection of robotics, optimization, and artificial intelligence. His key research areas include path planning for robotic manipulators, bio-inspired optimization algorithms, and control systems. One of his most notable contributions is the development of a Biogeography-based Optimization approach enhanced by Predator-Prey concepts, applied to the path planning of 3-DOF robot manipulators. This work, published in 2010 and cited 19 times, addresses the fundamental challenge of finding optimal, collision-free trajectories from an initial to a final configuration—a critical problem in robotics. By integrating predator-prey dynamics into biogeography-based optimization, Silva introduced a novel method for generating efficient reference inputs for robotic controllers. His research has implications for improving the autonomy and efficiency of robotic systems in manufacturing, exploration, and service applications. Silva's work demonstrates a commitment to advancing computational intelligence techniques for real-world engineering challenges, making him a notable figure in the field of robotics and optimization.
Research Focus
Key Achievements
Top Papers
- 1