PX4/PX4-Autopilot
Jan 2026 – Apr 2026
3 Months active
Languages Used
C++CMakeMarkdownNone
Technical Skills
C++ developmentcontrol systemsdocumentationembedded systemsreinforcement learningrobotics
Jonas Eschmann
PROFILE
Jonas Eschmann
Over a three-month period, contributed to the PX4/PX4-Autopilot repository by developing adaptive quadrotor control features and enhancing external control workflows. Built RAPTOR foundation policy integration using C++ to enable offboard command execution and improved trajectory tracking, while refining the MAVLink trajectory_setpoint workflow for safer autonomous flight. Expanded MAVLink protocol support to allow custom modes to request offboard setpoints via external mode registration, increasing navigation flexibility and interoperability. Addressed licensing compliance by updating the mc_raptor submodule to include a license file, streamlining governance. Additional work included resolving a mixed content warning in the web UI, ensuring secure content delivery.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
2,754
Activity Months3
Your Network
181 peopleShared Repositories
181
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered MAVLink Custom Mode Offboard Setpoint Requests via External Mode Registration in PX4-Autopilot. This feature expands MAVLink to allow custom modes to request offboard setpoints through external mode registration, enabling more flexible navigation state control. The work included end-to-end changes: forwarding offboard setpoints in modes using the external mode registration, enabling offboard setpoint requests in RAPTOR, maintaining compatibility with older message versions, and updating vehicle status and translations. The implementation reduces integration friction for external control workflows and enhances interoperability with external control systems.
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered MAVLink Custom Mode Offboard Setpoint Requests via External Mode Registration in PX4-Autopilot. This feature expands MAVLink to allow custom modes to request offboard setpoints through external mode registration, enabling more flexible navigation state control. The work included end-to-end changes: forwarding offboard setpoints in modes using the external mode registration, enabling offboard setpoint requests in RAPTOR, maintaining compatibility with older message versions, and updating vehicle status and translations. The implementation reduces integration friction for external control workflows and enhances interoperability with external control systems.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for PX4/PX4-Autopilot focused on governance and compliance improvements by updating the mc_raptor submodule to include the license file, ensuring proper attribution and licensing audits are streamlined. The change involved bumping the mc_raptor blob submodule to include the license (commit 6f023d4c2331c8a235654fefff3a82173c095b0f), reducing licensing risk and setting a clean baseline for future submodule licensing across the project.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for PX4/PX4-Autopilot focused on governance and compliance improvements by updating the mc_raptor submodule to include the license file, ensuring proper attribution and licensing audits are streamlined. The change involved bumping the mc_raptor blob submodule to include the license (commit 6f023d4c2331c8a235654fefff3a82173c095b0f), reducing licensing risk and setting a clean baseline for future submodule licensing across the project.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026: Delivered RAPTOR foundation policy integration for adaptive quadrotor control, enabling offboard command execution and improved trajectory tracking. Implemented RAPTOR-driven offboard trajectory feeding via trajectory_setpoint with mode-based forwarding and readiness signaling, improving responsiveness and safety in autonomous flight. Performed extensive refinements, testing scaffolds, and documentation updates to support robust deployment and future enhancements. Fixed a UI risk by updating the iframe source URL to resolve a mixed content warning, ensuring secure content delivery. Technologies demonstrated include C++, RAPTOR policy integration, MAVLink trajectory_setpoint workflow, mode-registration gating, and secure UI integration.
2 Commits • 1 Features
Jan 1, 2026January 2026: Delivered RAPTOR foundation policy integration for adaptive quadrotor control, enabling offboard command execution and improved trajectory tracking. Implemented RAPTOR-driven offboard trajectory feeding via trajectory_setpoint with mode-based forwarding and readiness signaling, improving responsiveness and safety in autonomous flight. Performed extensive refinements, testing scaffolds, and documentation updates to support robust deployment and future enhancements. Fixed a UI risk by updating the iframe source URL to resolve a mixed content warning, ensuring secure content delivery. Technologies demonstrated include C++, RAPTOR policy integration, MAVLink trajectory_setpoint workflow, mode-registration gating, and secure UI integration.
January 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage35.0%
Skills & Technologies
Programming Languages
C++CMakeMarkdownNone
Technical Skills
C++ developmentC++ programmingMAVLinkcontrol systemsdocumentationembedded systemsreinforcement learningroboticssubmodule managementweb development
Repositories Contributed To
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