Papers
5
Total Citations
15
H-Index
3
About
Luis F. Recalde is a robotics and control systems researcher whose work bridges the gap between theoretical algorithms and real-world autonomous systems. His research spans aerial robotics, nonlinear model predictive control (NMPC), and mobile robotics perception, with a particular focus on enabling safe, intelligent navigation in complex and unstructured environments. Recalde's most significant contributions center on unmanned aerial manipulators (UAMs) and multi-robot systems. His development of an open-access simulation platform for aerial robotic manipulators (2024) addresses a critical bottleneck in the field — the difficulty of transitioning control algorithms from theory to physical deployment. His work on NMPC frameworks for both single aerial manipulators and multiple quadrotors demonstrates sophisticated approaches to trajectory tracking, obstacle avoidance, and manipulability optimization in dynamic settings. Complementing his aerial robotics work, Recalde has also advanced perception capabilities for ground-based mobile robots, contributing an obstacle detection method using differences of normals in unorganized point clouds for real-time environmental awareness. With publications spanning from 2020 to 2024 and growing citation counts across multiple venues, Recalde represents an emerging voice in autonomous systems research, whose open-access contributions make his work particularly valuable to students and practitioners entering the robotics field.
Research Focus
Key Achievements
Top Papers
- 1Open-Access Platform for the Simulation of Aerial Robotic Manipulators4 citations · 2024
- 2Optimal Control Problem of a Differential Drive Robot4 citations · 2020
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- 4
- 5Nonlinear MPC for Multiple Quadrotors in Dynamic Environments2 citations · 2022