David Rivas-Lalaleo
Papers
5
Total Citations
52
H-Index
3
About
David Rivas-Lalaleo is a researcher whose work bridges robotics, control systems, and agricultural technology. His most impactful contribution is the development of a nonlinear controller for quadcopters designed specifically for agricultural monitoring, a paper that has garnered 22 citations and demonstrates his ability to apply advanced control theory to real-world precision agriculture challenges. Rivas-Lalaleo has also made significant strides in educational robotics, notably through the BRACON project, which created a control system for a six-degree-of-freedom robotic arm using Dynamixel servomotors and Python software—an accessible, open-source approach that has earned 19 citations. His research extends into biomedical engineering, with a study on brain-signal-controlled human-wheelchair systems (6 citations), and into mechanical design, where he explored inverse engineering to construct lightweight, efficient ABS plastic robotic arms (3 citations). Additionally, his work on nonlinear controllers for arachnid mechanisms based on Theo Jansen’s linkage (2 citations) showcases his versatility in bio-inspired robotics. Rivas-Lalaleo’s portfolio reflects a commitment to practical, interdisciplinary solutions that advance both autonomous systems and educational tools.
Research Focus
Key Achievements
Top Papers
- 1Nonlinear Controller of Quadcopters for Agricultural Monitoring22 citations · 2015
- 2
- 3Human-Wheelchair System Controlled by Through Brain Signals6 citations · 2016
- 4
- 5Nonlinear Controller of Arachnid Mechanism Based on Theo Jansen2 citations · 2016