Daniel Silva de Morais
Papers
1
Total Citations
2
H-Index
1
About
Daniel Silva de Morais is a researcher focused on advancing multi-robot systems and autonomous navigation, with a particular emphasis on global path planning in complex environments. His most cited work, "A Multi-Robot Path Planning Approach Based on Probabilistic Foam" (2019, 2 citations), introduces an innovative method that leverages space topology to compute feasible, collision-free paths for multiple robots operating in static settings. This contribution addresses a critical challenge in robotics—ensuring safe and efficient movement in obstacle-laden spaces—by offering a scalable solution that balances computational efficiency with robustness. Morais’s research bridges theoretical foundations and practical applications, providing a foundation for future work in swarm robotics and autonomous coordination. While his citation count reflects the early stage of his career, his work has been recognized for its potential to influence real-world multi-robot deployments, such as in warehouse logistics or search-and-rescue missions. As a rising scholar, Morais continues to explore probabilistic methods and topological reasoning, positioning himself as a promising voice in the field of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Multi-Robot Path Planning Approach Based on Probabilistic Foam2 citations · 2019