Jose M. Castiblanco Quintero
I build deployable, validated workflows for autonomy and control—linking modelling, experimentation, and real-time integration across heterogeneous platforms.
I build deployable, validated workflows for autonomy and control—linking modelling, experimentation, and real-time integration across heterogeneous platforms.
My toolchain spans co-simulation, CAx workflows, sensing-based validation, and interoperability across flight controllers, ground stations, and communication layers—so results remain reproducible and robust under high-dynamics constraints.
What partners bring
Platform constraints (mass/inertia, actuation limits, sensing, compute)
Mission profile and operating conditions (dynamic / constrained environments)
Performance criteria (stability, tracking, safety margins, latency, robustness)
What I deliver
Validated, control-oriented models and reproducible benchmarking protocols.
Modular co-simulation components and integration templates for real-time operation.
Data products (structured datasets) and evidence-driven performance metrics
1) Benchmark & evidence → establish repeatable tests and measurement pipelines (motion capture/sensors)
2) Model & co-simulate → build control-oriented models and co-simulation loops for evaluation.
3) Design & integrate → implement guidance/control and connect the system stack end-to-end.
4) Validate & iterate → verify real-time performance, document interfaces, and enable adoption.
I provide technical leadership on integration and interoperability across:
1) Flight controllers ↔ ground stations, including motion-tracking pipelines and real-time data distribution.
2) Robotic software environments and connected autonomy stacks.
3) Communication layers and protocols, ensuring robust real-time interoperability.
4) Multi-sensor configurations, integrating sensing into validation and deployment workflows
Motion capture systems and tracker workflows (real-time measurement pipelines).
Connectivity and local network design for multi-machine real-time interoperability.
Parallel/accelerated computing workflows where required for high-throughput analysis.
Mathematical modelling and control architecture toolchains (guidance, navigation & control workflows).
CAx environments for CAD/CAE/CFD, electrical routing/wiring, and motion simulation.
Integrated co-simulation loops for airframe analysis and control-loop design.
Python-based tooling for automation, integration, and analysis.
Database foundations for structured experimentation and traceability (MySQL basics).
Messaging/data transport foundations for connected systems (ZeroMQ).
Flight controllers, propulsion systems, GPUs.
Sensor settings for vision and localisation systems.
Flight sensor calibration.
LiDARs and depth cameras for sensing-driven validation and constrained deployment.