JM. Castiblanco Quintero

Jose M. Castiblanco Quintero

This page curates research artefacts, supervised academic work, and reusable technical materials supporting reproducible benchmarking and high-performance UAV dynamics.

Resources

Featured research artefacts

Featured resources enabling reproducible benchmarking, model validation, and end-to-end evaluation workflows for high-performance flight dynamics.

TRAM-FPV RACING DATASET

Clip_Cranfield.mp4

Repeatable indoor flight-test sequences with motion capture ground truth for benchmarking and reproducible validation:

Position, Velocity, and Acceleratio.
IMU, OMS, Vicon system.

Co-simulation platform

Integrated workflows: Identification, linearisation, and Guidance, Navigation and Control (GNC) evaluation. Generalisation of geometric models.

Black, Gray box.
Mass distribution database.

Research overview

Short narrative overview of my research trajectory, motivation, and vision. Very unique story about drones. State of the art.

The dawn of drones.
Near physical limits.

Proof-of-concept demonstrations showing the co-simulation workflow integrated in Unigraphics NX (Part I–II).

Proof of concept integration. Co-simulation. Part I

Proof of concept integration. Co-simulation. Part II

Technical resources

Reusable technical materials that support iteration, teaching-aligned development, and reproducible experimentation. These resources may evolve over time.

Supervised academic activities

Hands-on teaching artefacts supporting control fundamentals and applied UAV dynamics

AO1L12_AbiMariaPol.pdf

Dynamics with multicopters

Control: Proportional-Compensators

AVDCLesson17Output2.pdf

Automation: PID performance

Master's thesis and final projects highlights

A selection of master’s-level projects I supervised, showcasing applied work across modelling, simulation, control design, and experimental analysis.

GDP-Return 2024-25

Towards enabling more accessible, sustainable navigation testing. This work follows on from GDP 2023-24.

GDP-NICO 2024-25

GNSS-denied environments, Autonomous navigation through the use of a deep reinforcement learning (DRL) agent. This work follows on from GDP 2023-24.

Nawaf Alarifi

A lightweight drone concept for autonomous water sampling operations

Sacha Douard

Hybrid - Power for UAVs

Steven Tipan Rivera

Structural simulation of a racing quadcopter and implementation of control techniques.

Martin Ricard Jimenez

RPAS design and operations for specific precision viticulture applications.

Ismael Escudero Molina

Timing software for UAV competitions based on radio frequency identification (RFID) systems.

Alejandro Lorente Lopez

Design of a Y6 RPA for the inspection of industrial facilities.

Ivan Leiva Ruiz

Design and manufacturing of a small UAV for civilian Purposes.

Edwin Javier Pincay

Design and manufacture of an unmanned aerial vehicle with a ten-kilogram payload

Entrepreneurship activities

Team-based initiatives where I supported the translation of technical capability into organised execution—combining engineering delivery, coordination, and outreach around high-performance UAV applications.

Key roles and initiatives are listed below within the Drone UPV structure. My contribution focused on strategy alignment and enabling execution across engineering, communication, and outreach.

Alejandro Boix Catala

Head of Management Strategy

Drone UPV

David Checa Morell

Head of Engineering Strategy

Drone UPV

Empar Marti

Head of Marketing Strategy

Drone UPV

E-Sports - Drone-Uni E Race

Competitive and outreach-oriented initiatives around drone racing, linking team operations with engineering iteration and public engagement. (Press release)

Drone-Uni E-Race.mp4

DEFINITIVO_TORNEO_ONLINE-06.jpg

Go to Drone UPV

Go to DU Race

Go to Website