
Nina Lahellec developed and refined robotics features for the EPFLXplore/ERC_HD repository, focusing on perception, manipulation, and system reliability over seven months. She implemented motor telemetry, optimized rock picking pipelines, and improved coordinate transformations to streamline pick-and-place operations. Her work included refactoring ROS interface configurations for maintainability, integrating OAK-D camera support, and enhancing perception workflows using Python and C++. By updating submodules and fixing integration bugs, Nina ensured build reproducibility and reduced deployment risks. Her engineering approach emphasized clear code structure, robust debugging, and end-to-end validation, resulting in more reliable, testable robotics systems ready for real-world deployment.

June 2025 monthly summary for EPFLXplore/ERC_HD: Delivered a key feature and fixed a critical bug, with a measurable impact on robotics reliability and efficiency. Key feature delivered: Rock pose computation optimization via FrameTransform refactor to simplify coordinate transformations for the rock's pose in the L6 frame and the L6 goal pose, streamlining pick-and-place operations and reducing transformation overhead. Major bugs fixed: Depth frame check syntax corrected (changing 'none' to 'None') and EOF newline added to ensure consistency, improving runtime reliability and CI consistency. Overall impact and accomplishments: Improved precision and speed in rock pose handling for pick-and-place, leading to faster task completion and lower error rates. Clean, maintainable code with targeted, well-documented commits. Demonstrated end-to-end workflow improvements from coordinate transforms to data validation checks. Technologies/skills demonstrated: Robotics coordinate transformations (FrameTransform), Python correctness (None vs none), code refactoring for performance, and disciplined version control practices.
June 2025 monthly summary for EPFLXplore/ERC_HD: Delivered a key feature and fixed a critical bug, with a measurable impact on robotics reliability and efficiency. Key feature delivered: Rock pose computation optimization via FrameTransform refactor to simplify coordinate transformations for the rock's pose in the L6 frame and the L6 goal pose, streamlining pick-and-place operations and reducing transformation overhead. Major bugs fixed: Depth frame check syntax corrected (changing 'none' to 'None') and EOF newline added to ensure consistency, improving runtime reliability and CI consistency. Overall impact and accomplishments: Improved precision and speed in rock pose handling for pick-and-place, leading to faster task completion and lower error rates. Clean, maintainable code with targeted, well-documented commits. Demonstrated end-to-end workflow improvements from coordinate transforms to data validation checks. Technologies/skills demonstrated: Robotics coordinate transformations (FrameTransform), Python correctness (None vs none), code refactoring for performance, and disciplined version control practices.
May 2025 focused on delivering a robust rock picking and grasping pipeline for the EPFLXplore/ERC_HD project, with strong emphasis on OAK-D camera integration, improved perception and manipulation components, and reproducible testing environments. The work encompassed a series of commits that enhanced rock detection, grasp planning, pose tracking, and world-frame transforms, alongside camera debugging tools and environment tooling. The month also included stabilization efforts for visualization and detector resizing to ensure reliable operation in lab-like conditions. These efforts position the team to accelerate autonomous rock picking in real-world settings and reduce manual intervention.
May 2025 focused on delivering a robust rock picking and grasping pipeline for the EPFLXplore/ERC_HD project, with strong emphasis on OAK-D camera integration, improved perception and manipulation components, and reproducible testing environments. The work encompassed a series of commits that enhanced rock detection, grasp planning, pose tracking, and world-frame transforms, alongside camera debugging tools and environment tooling. The month also included stabilization efforts for visualization and detector resizing to ensure reliable operation in lab-like conditions. These efforts position the team to accelerate autonomous rock picking in real-world settings and reduce manual intervention.
In April 2025, EPFLXplore/ERC_HD saw targeted feature delivery, stability improvements, and preparation for robust testing and deployment. The work focused on tuning robot behavior, improving perception pipelines, and refreshing dependencies to accelerate iteration and reduce integration risk.
In April 2025, EPFLXplore/ERC_HD saw targeted feature delivery, stability improvements, and preparation for robust testing and deployment. The work focused on tuning robot behavior, improving perception pipelines, and refreshing dependencies to accelerate iteration and reduce integration risk.
March 2025 monthly summary for EPFLXplore/ERC_HD: Delivered a targeted bug fix updating the custom_msg subproject reference to bc25d07489edc44d14053529b08e54c078d85fe1, ensuring alignment with the latest changes from the custom_msg subproject. The change prevents integration/build issues and improves stability for downstream consumers.
March 2025 monthly summary for EPFLXplore/ERC_HD: Delivered a targeted bug fix updating the custom_msg subproject reference to bc25d07489edc44d14053529b08e54c078d85fe1, ensuring alignment with the latest changes from the custom_msg subproject. The change prevents integration/build issues and improves stability for downstream consumers.
February 2025: Delivered a key feature for EPFLXplore/ERC_HD by simplifying the ROS interface configuration within the FSM. Refactored topic/service naming, replacing dynamic parameter lookups with hardcoded endpoint strings for publishers, servers, subscriptions, and clients, and directly defined communication endpoints. This reduces configuration complexity, lowers runtime misconfiguration risk, and accelerates deployment and onboarding. The change is tracked in commit bd4c0287f9360f12f8fae2bceda5eec2b79466c8 ('remove the interface names'). No separate bug fixes were logged this month; the work emphasizes stability, maintainability, and predictable ROS communications. Tech impact includes improved reliability of inter-component communications and clearer code paths for future enhancements.
February 2025: Delivered a key feature for EPFLXplore/ERC_HD by simplifying the ROS interface configuration within the FSM. Refactored topic/service naming, replacing dynamic parameter lookups with hardcoded endpoint strings for publishers, servers, subscriptions, and clients, and directly defined communication endpoints. This reduces configuration complexity, lowers runtime misconfiguration risk, and accelerates deployment and onboarding. The change is tracked in commit bd4c0287f9360f12f8fae2bceda5eec2b79466c8 ('remove the interface names'). No separate bug fixes were logged this month; the work emphasizes stability, maintainability, and predictable ROS communications. Tech impact includes improved reliability of inter-component communications and clearer code paths for future enhancements.
Month 2024-12 — EPFLXplore/ERC_HD: Delivered motor status telemetry capabilities and updated data formats to improve observability and compatibility.
Month 2024-12 — EPFLXplore/ERC_HD: Delivered motor status telemetry capabilities and updated data formats to improve observability and compatibility.
Month: 2024-11 Highlights: - Submodule update in EPFLXplore/ERC_HD: updated the custom_msg submodule reference to the latest commit ee39683a48eab20c189331f5db183afaa1bf6452. This change does not modify the main project's functionality but aligns dependencies, improves build reproducibility, and reduces drift between modules. This prepares the ground for upcoming feature work and ensures compatibility with upstream changes.
Month: 2024-11 Highlights: - Submodule update in EPFLXplore/ERC_HD: updated the custom_msg submodule reference to the latest commit ee39683a48eab20c189331f5db183afaa1bf6452. This change does not modify the main project's functionality but aligns dependencies, improves build reproducibility, and reduces drift between modules. This prepares the ground for upcoming feature work and ensures compatibility with upstream changes.
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