Stanford-AUV/RoboSub
Feb 2026 – Feb 2026
1 Month active
Languages Used
BashDockerfileJSONPythonYAML
Technical Skills
C++CUDAContainerizationDevOpsDockerEmbedded Systems
Keane Haesle
PROFILE
Keane Haesle
Worked on the Stanford-AUV/RoboSub repository to deliver six core features focused on sensor fusion, localization, and control for autonomous underwater robotics. Developed a new ROS2-based controller node in Python and C++, integrating thruster configuration and extended Kalman filtering for improved navigation. Overhauled the localization system by refining EKF node management and parameterization, streamlining sensor data integration from IMU and odometry sources. Established a reproducible development environment using Docker, enabling GPU-accelerated AI tasks with CUDA and PyTorch on Jetson hardware. Enhanced perception capabilities by incorporating YOLOv8 object detection assets, supporting robust onboard data recording and facilitating rapid iteration in simulation and deployment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
6
Lines of code
231,193
Activity Months1
Your Network
124 peopleWork History
February 2026
10 Commits • 6 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for Stanford-AUV/RoboSub. The work focused on delivering core sensor fusion improvements, streamlining localization, advancing the ROS2 control stack, and establishing a robust, reproducible development environment. These efforts enable more reliable navigation, faster iteration, and better onboard perception.
10 Commits • 6 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for Stanford-AUV/RoboSub. The work focused on delivering core sensor fusion improvements, streamlining localization, advancing the ROS2 control stack, and establishing a robust, reproducible development environment. These efforts enable more reliable navigation, faster iteration, and better onboard perception.
February 2026
Activity
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Quality Metrics
Correctness84.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage38.0%
Skills & Technologies
Programming Languages
BashDockerfileJSONPythonYAML
Technical Skills
C++CUDAContainerizationDevOpsDockerEmbedded SystemsKalman filteringMachine LearningPyTorchPythonROSROS2configuration managementcontainerizationcontrol systems
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