Erick Menezes Moreira

Papers

Total Citations

H-Index

About

Erick Menezes Moreira is a researcher focused on the intersection of unmanned aerial vehicle (UAV) autonomy and swarm robotics, with a particular emphasis on practical, real-world implementations. His work addresses two critical challenges in drone technology: simplifying human-robot interaction and enabling coordinated multi-agent systems. In his 2020 study, Moreira developed an innovative system for automating UAV flight paths using visual waypoints captured from the ground, allowing drones to learn and repeat complex trajectories through simple image recognition rather than requiring GPS or pre-programmed coordinates. This approach significantly lowers the barrier for deploying autonomous drones in environments where traditional navigation is impractical. Complementing this, his 2019 research implemented a Particle Swarm Optimization algorithm for controlling multiple drones in continuous task simulations, demonstrating how bio-inspired algorithms can effectively coordinate swarm behavior for sustained operations. While his citation counts (3 each) reflect the emerging nature of his work, these publications establish foundational methodologies for accessible drone autonomy and scalable swarm control. Moreira's contributions are particularly valuable for researchers exploring low-cost, vision-based navigation systems and decentralized swarm coordination in dynamic environments.