Santiago Esteva
Papers
3
Total Citations
10
H-Index
3
About
Santiago Esteva is a robotics researcher specializing in multi-agent systems, human-robot interaction, and autonomous navigation for urban environments. His most-cited work, "Multi-UAV Specification and Control with a Single Pilot-in-the-Loop" (2020, 4 citations), introduces a novel approach to managing unmanned aerial vehicle formations using cluster-space coordination, augmented by a single operator’s feed-forward teleoperation input—a contribution that bridges autonomy and human oversight. Esteva also explores AI-driven motion control in "Applying AI to the motion control in robots. A sliding situation" (2019, 3 citations), where he addresses non-holonomic robot control under wheel-slip conditions, systematically cataloging failure modes and solutions. His applied research extends to "Robot team in the improvement of the neighborhood" (2018, 3 citations), which proposes autonomous robot teams for urban maintenance tasks like street data collection, requiring minimal human supervision only for safety. While his citation counts are modest, Esteva’s work is notable for integrating practical teleoperation strategies with robust control algorithms, advancing the feasibility of semi-autonomous robot teams in real-world settings. His research offers valuable insights for students and engineers working on scalable multi-robot systems and human-in-the-loop control.
Research Focus
Key Achievements
Top Papers
- 1Multi-UAV Specification and Control with a Single Pilot-in-the-Loop4 citations · 2020
- 2Applying AI to the motion control in robots. A sliding situation.3 citations · 2019
- 3Robot team in the improvement of the neighborhood3 citations · 2018