Rafael Souza
Papers
1
Total Citations
41
H-Index
1
About
Rafael Souza is a leading researcher in autonomous systems and swarm robotics, with a primary focus on path planning and motion control for multi-agent environments. His most influential work introduces a modified artificial potential field method for the path planning of aircraft swarms in three-dimensional environments, addressing critical challenges in obstacle avoidance, computational efficiency, and trajectory safety. This 2022 paper has garnered 41 citations, reflecting its timely impact on the field of autonomous navigation. Souza’s contributions are particularly notable for their practical applicability to real-world swarm operations, where balancing path optimality with computational burden is essential. His research bridges theoretical advances in potential field algorithms with the demands of dynamic, obstacle-rich 3D spaces, offering scalable solutions for unmanned aerial vehicle coordination. By enhancing the safety and reliability of swarm path planning, Souza’s work supports broader applications in surveillance, search-and-rescue, and autonomous logistics. His achievements mark him as an emerging authority in the intersection of robotics, control systems, and artificial intelligence, with ongoing influence on both academic research and engineering practice.
Research Focus
Key Achievements
Top Papers
- 1