
Clayton Cowen developed and maintained the MissouriMRDT/Autonomy_Software repository over 15 months, delivering a robust autonomy stack for robotics applications. He engineered features spanning 3D visualization, real-time navigation, and sensor integration, using C++ and Python to implement algorithms for path planning, object detection, and state management. His work included optimizing build systems with CMake and Docker, integrating WebRTC for streaming, and enhancing perception with OpenCV and PyTorch. By refactoring core modules, expanding test coverage, and improving CI/CD pipelines, Clayton ensured reliability and maintainability. His contributions addressed cross-platform deployment, sensor accuracy, and operational safety, demonstrating deep technical breadth and rigor.

January 2026 monthly summary for MissouriMRDT/Autonomy_Software focused on delivering reliable autonomy features, navigation accuracy, and visualization enhancements, while hardening the stack with testing and formatting improvements. Key outcomes include DriveBoard integration with RoveComm, enhanced drive control and speed multiplier handling, and drive power adjustments; geolocation offsets accounted for in navigation to improve positioning; WebRTC connectivity fixes enabling SIM integration; rover state logic improvements around equator handling; completion of the live autonomy visualizer with embedded Three.js visuals, ETA display, and drive power vectors; QA/unit test stabilization and cleanup to reduce regression risk; and ongoing formatting refinements. Technologies demonstrated include C++ DriveBoard.cpp updates, RoveComm integration, WebRTC, GPS/camera offset math, Three.js visualizations, and automated unit tests.
January 2026 monthly summary for MissouriMRDT/Autonomy_Software focused on delivering reliable autonomy features, navigation accuracy, and visualization enhancements, while hardening the stack with testing and formatting improvements. Key outcomes include DriveBoard integration with RoveComm, enhanced drive control and speed multiplier handling, and drive power adjustments; geolocation offsets accounted for in navigation to improve positioning; WebRTC connectivity fixes enabling SIM integration; rover state logic improvements around equator handling; completion of the live autonomy visualizer with embedded Three.js visuals, ETA display, and drive power vectors; QA/unit test stabilization and cleanup to reduce regression risk; and ongoing formatting refinements. Technologies demonstrated include C++ DriveBoard.cpp updates, RoveComm integration, WebRTC, GPS/camera offset math, Three.js visualizations, and automated unit tests.
December 2025 monthly summary for MissouriMRDT/Autonomy_Software. Delivered key features and fixes across IMU data logging, gyro pose estimation, LiDAR data integration, CI/CD and ARM64 packaging, container environment enhancements, and drive system tuning. These changes improved navigation accuracy, sensor data quality, test coverage, and cross‑platform deployment, enabling safer autonomous operation and faster iteration cycles.
December 2025 monthly summary for MissouriMRDT/Autonomy_Software. Delivered key features and fixes across IMU data logging, gyro pose estimation, LiDAR data integration, CI/CD and ARM64 packaging, container environment enhancements, and drive system tuning. These changes improved navigation accuracy, sensor data quality, test coverage, and cross‑platform deployment, enabling safer autonomous operation and faster iteration cycles.
Monthly summary for 2025-11: Delivered major feature work and safety enhancements to MissouriMRDT/Autonomy_Software, with improvements in path planning configurability, telemetry accuracy, rover safety, and cross-platform deployment. The work enhances autonomy reliability, operator visibility, and deployment stability, delivering concrete business value in safer, more configurable navigation and easier maintenance.
Monthly summary for 2025-11: Delivered major feature work and safety enhancements to MissouriMRDT/Autonomy_Software, with improvements in path planning configurability, telemetry accuracy, rover safety, and cross-platform deployment. The work enhances autonomy reliability, operator visibility, and deployment stability, delivering concrete business value in safer, more configurable navigation and easier maintenance.
2025-10 Monthly Summary for MissouriMRDT/Autonomy_Software focusing on business value and technical achievements across GeoPlanner, rover navigation, and build/config improvements.
2025-10 Monthly Summary for MissouriMRDT/Autonomy_Software focusing on business value and technical achievements across GeoPlanner, rover navigation, and build/config improvements.
2025-09 Monthly Summary for MissouriMRDT/Autonomy_Software: Focused on performance, stability, and maintainability. No critical bugs reported this month. Delivered container and dependency optimizations plus GeoPlanner algorithm enhancements, delivering faster navigation, easier future updates, and more reliable deployments.
2025-09 Monthly Summary for MissouriMRDT/Autonomy_Software: Focused on performance, stability, and maintainability. No critical bugs reported this month. Delivered container and dependency optimizations plus GeoPlanner algorithm enhancements, delivering faster navigation, easier future updates, and more reliable deployments.
In August 2025, delivered a CI/CD Deployment Dependency Cleanup for MissouriMRDT/Autonomy_Software, simplifying the deployment workflow and reducing pipeline complexity. By removing the build-and-upload step from the dependencies of update-versions and create-request in deploy_autonomy.yml, the deployment process becomes leaner, with potential improvements in deployment speed and reliability. The changes are captured in a single commit (7c4222523f8022548f88c61fb52a4d18ae0ff5dd) and enhance maintainability of the CI/CD pipeline.
In August 2025, delivered a CI/CD Deployment Dependency Cleanup for MissouriMRDT/Autonomy_Software, simplifying the deployment workflow and reducing pipeline complexity. By removing the build-and-upload step from the dependencies of update-versions and create-request in deploy_autonomy.yml, the deployment process becomes leaner, with potential improvements in deployment speed and reliability. The changes are captured in a single commit (7c4222523f8022548f88c61fb52a4d18ae0ff5dd) and enhance maintainability of the CI/CD pipeline.
June 2025 Monthly Summary for MissouriMRDT/Autonomy_Software: Focused on stabilizing system indicators by fixing multimedia board lighting state synchronization. No new features delivered this month; primary accomplishment is aligning lighting commands with the multimedia board's operational status (autonomy vs off) based on events. Implemented in ReversingState and SearchPatternState, improving reliability of user-facing status indications. Commit: 575f60ae431b253ac3bc935e7382f583f2835b92 (Cleanup).
June 2025 Monthly Summary for MissouriMRDT/Autonomy_Software: Focused on stabilizing system indicators by fixing multimedia board lighting state synchronization. No new features delivered this month; primary accomplishment is aligning lighting commands with the multimedia board's operational status (autonomy vs off) based on events. Implemented in ReversingState and SearchPatternState, improving reliability of user-facing status indications. Commit: 575f60ae431b253ac3bc935e7382f583f2835b92 (Cleanup).
May 2025: Strengthened autonomy software with a focus on reliability, accuracy, and maintainability. Delivered pointcloud enhancements with Torch-model integration; implemented ObjectDetector and ObjectDetectionHandler; expanded test infrastructure and fixed unit tests; improved navigation with continuous navigation support, nav IDs, deadlock fixes; added thread FPS reporting and colorspace tuning; updated RoveComm protocol and dependencies; added CurrentPlot.png asset; and completed code quality and CI improvements. These changes collectively reduce sensor misclassification, improve monitoring, and increase deployment confidence while enhancing developer productivity.
May 2025: Strengthened autonomy software with a focus on reliability, accuracy, and maintainability. Delivered pointcloud enhancements with Torch-model integration; implemented ObjectDetector and ObjectDetectionHandler; expanded test infrastructure and fixed unit tests; improved navigation with continuous navigation support, nav IDs, deadlock fixes; added thread FPS reporting and colorspace tuning; updated RoveComm protocol and dependencies; added CurrentPlot.png asset; and completed code quality and CI improvements. These changes collectively reduce sensor misclassification, improve monitoring, and increase deployment confidence while enhancing developer productivity.
April 2025 (Month: 2025-04) performance summary for MissouriMRDT/Autonomy_Software. Delivered a foundational design document to define architecture and plan, implemented key autonomy features, stabilized core pipelines, and advanced testing and observability to support longer-term reliability and scalability in autonomous operations. The work aligned with the project’s objective of robust, verifiable autonomy in simulated and real environments.
April 2025 (Month: 2025-04) performance summary for MissouriMRDT/Autonomy_Software. Delivered a foundational design document to define architecture and plan, implemented key autonomy features, stabilized core pipelines, and advanced testing and observability to support longer-term reliability and scalability in autonomous operations. The work aligned with the project’s objective of robust, verifiable autonomy in simulated and real environments.
March 2025 performance summary for MissouriMRDT/Autonomy_Software focused on delivering cross‑platform capabilities, stabilizing the build and CI/CD pipelines, and advancing intelligent detection capabilities. Key features and stability improvements were shipped across PCL integration, ARM64 support, and Docker/DevContainer workflows, while testing and quality efforts reduced risk in production releases.
March 2025 performance summary for MissouriMRDT/Autonomy_Software focused on delivering cross‑platform capabilities, stabilizing the build and CI/CD pipelines, and advancing intelligent detection capabilities. Key features and stability improvements were shipped across PCL integration, ARM64 support, and Docker/DevContainer workflows, while testing and quality efforts reduced risk in production releases.
February 2025 (MissouriMRDT/Autonomy_Software): Focused on stabilizing core runtime, enabling platform-wide reliability, and advancing autonomy capabilities. Delivered cross-architecture FFMPEG stability and installation fixes, completed a major Quill upgrade, strengthened navigation with an A* core and enhancements, initiated Torch Tag Detection framework integration, and ensured platform compatibility through L4T/CUDA version management. The work improved hardware compatibility, reliability of media processing, navigation performance, and sensor/detection capabilities, while maintaining code quality and test coverage.
February 2025 (MissouriMRDT/Autonomy_Software): Focused on stabilizing core runtime, enabling platform-wide reliability, and advancing autonomy capabilities. Delivered cross-architecture FFMPEG stability and installation fixes, completed a major Quill upgrade, strengthened navigation with an A* core and enhancements, initiated Torch Tag Detection framework integration, and ensured platform compatibility through L4T/CUDA version management. The work improved hardware compatibility, reliability of media processing, navigation performance, and sensor/detection capabilities, while maintaining code quality and test coverage.
January 2025: Focused on stabilizing streaming workflows, sensor processing, and deployment readiness for field operations. Delivered end-to-end DataChannel control and PixelStreaming command support, enabling reliable remote streaming control and data flow. Fixed critical ZED SIMZEDCam realignment so SIMZEDCam uses the correct navboard position, improving localization fidelity. Enhanced SIMZEDCam with point cloud calculation and added basic camera tests to validate sensor data processing. Hardened tag detection by resolving search-pattern logic and reducing thread contention for more stable operation under load. Improved maintainability and deployment readiness through maintenance/docs/tooling updates (version bumps, .gitignore, Docker tooling) and ongoing code quality improvements, speeding up field deployment and CI reliability.
January 2025: Focused on stabilizing streaming workflows, sensor processing, and deployment readiness for field operations. Delivered end-to-end DataChannel control and PixelStreaming command support, enabling reliable remote streaming control and data flow. Fixed critical ZED SIMZEDCam realignment so SIMZEDCam uses the correct navboard position, improving localization fidelity. Enhanced SIMZEDCam with point cloud calculation and added basic camera tests to validate sensor data processing. Hardened tag detection by resolving search-pattern logic and reducing thread contention for more stable operation under load. Improved maintainability and deployment readiness through maintenance/docs/tooling updates (version bumps, .gitignore, Docker tooling) and ongoing code quality improvements, speeding up field deployment and CI reliability.
December 2024 was focused on delivering a robust streaming and perception stack for MissouriMRDT/Autonomy_Software, with a strong emphasis on WebRTC-based communication, depth sensing, and modular camera architecture. Key work reduced integration risk, improved testability, and positioned the project for scalable autonomous operation.
December 2024 was focused on delivering a robust streaming and perception stack for MissouriMRDT/Autonomy_Software, with a strong emphasis on WebRTC-based communication, depth sensing, and modular camera architecture. Key work reduced integration risk, improved testability, and positioned the project for scalable autonomous operation.
November 2024 performance summary for MissouriMRDT/Autonomy_Software. Focused on delivering WebRTC-based streaming capabilities, robust media decoding, containerized deployment reliability, and expanded test coverage. The work couples software delivery with operational improvements to accelerate production readiness and reduce maintenance risk.
November 2024 performance summary for MissouriMRDT/Autonomy_Software. Focused on delivering WebRTC-based streaming capabilities, robust media decoding, containerized deployment reliability, and expanded test coverage. The work couples software delivery with operational improvements to accelerate production readiness and reduce maintenance risk.
October 2024 monthly summary for MissouriMRDT/Autonomy_Software. Focused on stabilizing external dependencies and reinforcing integration reliability. Key deliverable: upgraded RoveComm_CPP submodule to refresh dependencies, improving stability and compatibility.
October 2024 monthly summary for MissouriMRDT/Autonomy_Software. Focused on stabilizing external dependencies and reinforcing integration reliability. Key deliverable: upgraded RoveComm_CPP submodule to refresh dependencies, improving stability and compatibility.
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