Ryan J. Lanciloti
Papers
1
Total Citations
7
H-Index
1
About
Ryan J. Lanciloti investigates the intersection of human-robot interaction and unmanned aerial vehicle (UAV) telemanipulation, with a focus on optimizing interface design for complex aerial tasks. His most cited work, "The Effects of Interface Views on Performing Aerial Telemanipulation Tasks Using Small UAVs" (2021), systematically examines how different visual perspectives—such as first-person and third-person views—impact operator performance during precision manipulation with small drones. This research provides critical insights for improving situational awareness and task efficiency in applications ranging from infrastructure inspection to search-and-rescue operations. Lanciloti’s contributions bridge cognitive ergonomics and robotics, offering evidence-based guidelines for developing more intuitive UAV control systems. With 7 citations to his flagship paper, his work is gaining traction among researchers exploring teleoperation interfaces. His findings underscore the importance of view selection in reducing operator workload and error rates, laying groundwork for future studies on adaptive interface technologies. Lanciloti’s research is particularly valuable for students and engineers designing user-centered aerial robotic systems, highlighting how thoughtful interface design can transform UAVs from mere observation tools into capable manipulators in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1