ROS2 security & introspection tools (SROS2, roswtf, rqt graph analyzers); MAVLink inspectors & drone telemetry sniffers; PX4/Gazebo simulation stacks; firmware extraction & debugging tools (OpenOCD, pyOCD, JTAG/SWD probes); sensor spoofing toolkits; embedded Linux workflows (Yocto, Buildroot); edge AI runtimes (TensorRT, ONNX Runtime, OpenVINO); flight log decoders; secure mission-planning toolchains.
Autonomous Systems Security Roadmap
“This is our world now… the world of the electron and the switch.”
— The Hacker Manifesto (1986)
The kit to make this roadmap real.
How intelligent machines sense, think, act—and how to secure them.
I’m a robotics educator, cybersecurity practitioner, and FIRST Robotics mentor building an ecosystem around one idea: autonomous systems + safety + security. This roadmap is the blueprint for the next decade of my growth.
Every project I take on—from robotics to UAVs—sits inside one theme: autonomy and security. This roadmap changes as I build, learn, and test new ideas.
The four pillars of my work
PILLAR 01 — Autonomous Robotics Engineering
Circuits, sensors, motors, microcontrollers, VEX/FRC systems, and embedded foundations. Early ROS2 workflows, HRI concepts, and engineering robots that are testable, observable, and dependable. Focus on real-world behavior, failure modes, and debugging autonomy at the hardware/software boundary.
PILLAR 02 — Applied AI & Machine Perception
Computer vision, tracking, decision pipelines, multi-sensor fusion, navigation and planning, lightweight LLM reasoning on edge devices, and adversarial perception threats. Understanding how robots interpret the world — and how those interpretations can break.
PILLAR 03 — Unmanned Aerial Systems
Flight controllers, telemetry security, failsafe logic, autonomous navigation, multi-sensor fusion, and mission-level decision systems. UAVs as the next research testbed for autonomy, safety, and real-world system reliability.
PILLAR 04 — Cybersecurity of Autonomous Systems
ROS/ROS2 exploit research, DDS hardening, secure communication, drone telemetry threats, firmware/embedded analysis, adversarial ML, sensor/LIDAR/GPS spoofing, and fault-injection techniques for resilience. Security at the intersection of autonomy, perception, and embedded systems.
Phases 1–4
Now - 6 months
Deepen robotics fundamentals; Arduino and embedded security basics; small autonomous ground vehicles; ROS2 networking and introspection; UAV hardware and telemetry fundamentals; introductory computer vision modules; firmware and sensor-level analysis workflows.
6-18 months
Autonomous navigation, drone control/telemetry testing, CV to action pipeline, adversarial AI cases, robotics curriculum + security labs, ROS2 exploitation research.
1-3 years
GPS spoofing lab, failsafe testing, firmware extraction/mod, LIDAR spoofing, secure ROS2 deployments, FRC autonomous path security.
3-5 years
Advanced study in autonomous systems security, curriculum expansion, specialized research initiatives, selective publishing, and deeper engagement with the global robotics/security community.
Hands-on builds to complete
(Focused on Autonomous Systems Security)
Autonomous ground robot v2
Sensors + PID + obstacle avoidance with a secure telemetry dashboard; hardened FRC-friendly variant; data integrity checks.
Drone mission security lab
UAV mission planning, geofencing validation, failsafe behavior testing, telemetry integrity checks, and controlled spoofing scenarios; packaged for classroom use.
AI decision module (secure edge model)
Lightweight decision-making model for autonomous robots; evaluate latency vs. accuracy; analyze adversarial robustness on edge hardware.
Autonomous system hardening kit
Labs focused on securing embedded systems, sensor spoofing defense, ROS2 topic monitoring, and safe autonomy validation workflows.
DeepSniff — autonomy edition
Packet inspection + behavior monitoring for robots/drones; detect anomalies in control loops, telemetry drift, and spoofing attempts; classroom-safe dashboards.
Keep the stack sharp
Autonomy and controls fundamentals; UAV safety, airspace rules, and mission-assurance practices; secure robotics and embedded/IoT systems; ROS2 hardening and secure communication patterns; sensor integrity and spoof-resistance methods; adversarial ML and perception-robustness basics; firmware analysis and embedded security workflows.
Burp Suite, Nmap, Linux tooling, OSINT kits, QGroundControl/Mission Planner for UAV testing, telemetry dashboards, GitHub Actions CI/CD.
UAV safety certification; embedded systems security courses; autonomy/controls upskilling tied to teaching goals; FANUC Certified Robot Operator, Universal Robots Core/Advanced Certification, selective robotics security training; VEX educator/programmer credentials (as appropriate).
Build a unified discipline that merges robotics, cybersecurity, AI, and autonomy—and teach the next generation to build and protect it.
This roadmap is living. It’s where I’m going and the blueprint of the world I’m building.