Mikel Larrea

Papers

Total Citations

113

H-Index

About

Mikel Larrea is a leading researcher in the fields of aerial robotics, unmanned aerial vehicle (UAV) dynamics, and robotic manipulation, with a particular focus on payload transportation and kinematic computation. His major contributions include advancing the understanding of suspended-cable payload transport by quadrotors, a critical area for military, industrial, and logistics applications. His 2024 review on this topic, which has garnered 58 citations, synthesizes key challenges and solutions in UAV-payload interactions and attachment methods. Additionally, Larrea has pioneered the use of neural networks for real-time kinematic problem solving in parallel robots, as demonstrated by his 2017 work on the 3PRS robot, which has been cited 55 times. This work bridges robotics and artificial intelligence, enabling faster and more accurate motion control. Larrea’s research has significant implications for autonomous drone delivery, search-and-rescue operations, and industrial automation. His ability to integrate theoretical kinematics with practical neural network applications marks him as a notable figure in modern robotics, inspiring students and researchers to explore the intersection of UAVs, control systems, and machine learning.