Isabel Castelo
Papers
1
Total Citations
41
H-Index
1
About
Isabel Castelo is a rising researcher in the field of autonomous robotics, with a primary focus on heterogeneous multi-robot systems and Unmanned Aerial Vehicles (UAVs). Her most cited work, “Vision-Based Autonomous Following of a Moving Platform and Landing for an Unmanned Aerial Vehicle” (2023, 41 citations), addresses a critical limitation of UAVs—their restricted battery life—by enabling them to autonomously track and land on a moving Unmanned Ground Vehicle (UGV). This contribution is pivotal for extending mission durations and enhancing the versatility of drone-robot teams in applications such as search-and-rescue, surveillance, and logistics. By integrating vision-based control with cooperative robotics, Castelo’s research offers practical solutions for real-world deployment, demonstrating significant impact in a rapidly evolving field. Her work not only advances autonomous navigation but also lays groundwork for more resilient, collaborative robotic systems, marking her as a promising contributor to multi-agent autonomy.
Research Focus
Key Achievements
Top Papers
- 1