Jorge Squeff Filho

About

Jorge Squeff Filho is a robotics researcher whose work focuses on autonomous aerial systems, computer vision, and energy-constrained robotic navigation. His most cited paper, "Vision-based K-Nearest Neighbor Approach for Multiple Search and Landing with Energy Constraints" (2023), addresses a critical challenge in the Flying Robot Trial League (FRTL) of RoboCup Brazil: enabling drones to autonomously search for and land on multiple targets while managing limited battery life. By integrating K-nearest neighbor algorithms with vision-based sensing, Squeff Filho’s approach improves the efficiency and reliability of unmanned aerial vehicles in industrial environments. This work has already garnered 3 citations, signaling its relevance to the growing field of autonomous robotics. Beyond this paper, his contributions to the FRTL competition highlight his commitment to bridging theoretical research with real-world applications, particularly in tasks that require intelligent decision-making under resource constraints. Squeff Filho’s research is instrumental for students and engineers working on drone autonomy, energy-aware planning, and computer vision, offering practical solutions that push the boundaries of what flying robots can achieve in complex, dynamic settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Vision-based K-Nearest Neighbor Approach for Multiple Search and Landing with Energy Constraints

   3 citations · 2023

Key Collaborators

Contact & Links