EPFLXplore/ERC_HD
Dec 2024 – Aug 2025
9 Months active
Languages Used
PythonShellcppyamlC++CMakeDockerfileYAML
Technical Skills
Configuration ManagementEmbedded SystemsFinite State MachinesGit SubmodulesInverse KinematicsKinematics
flxinxout
PROFILE
Flxinxout
Giovanni Ranieri developed core robotics and perception capabilities for the EPFLXplore/ERC_HD repository, focusing on autonomous task execution, robust motion planning, and real-time perception. He engineered pipelines for rock and probe detection, integrated ArUco-based localization, and implemented inverse kinematics with constraint solvers to improve pose accuracy and task reliability. Using C++, Python, and ROS 2, Giovanni refactored launch systems, streamlined configuration management, and enhanced hardware integration for Jetson-based deployments. His work emphasized maintainability through code cleanup, modular state machines, and dependency alignment, resulting in scalable, testable workflows that improved system reliability and reduced operational overhead in field scenarios.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
89Total
Bugs
8
Commits
89
Features
49
Lines of code
464,718
Activity Months9
Your Network
120 people
Work History
August 2025
7 Commits • 5 Features
Aug 1, 2025August 2025 monthly summary for EPFLXplore/ERC_HD focusing on delivered features, reliability improvements, and maintainability. The team shipped a set of capabilities enabling more robust perception, faster control loops, and easier testing, while also refreshing dependencies and cleaning the codebase for long-term sustainment.
7 Commits • 5 Features
Aug 1, 2025August 2025 monthly summary for EPFLXplore/ERC_HD focusing on delivered features, reliability improvements, and maintainability. The team shipped a set of capabilities enabling more robust perception, faster control loops, and easier testing, while also refreshing dependencies and cleaning the codebase for long-term sustainment.
August 2025
July 2025
6 Commits • 5 Features
Jul 1, 2025Month: 2025-07 — This period delivered a focused set of core capabilities across perception, planning, and task automation in EPFLXplore/ERC_HD, enabling more reliable autonomous operation and streamlined deployment on Jetson-based systems. The work targeted robust marker-based localization, end-to-end task workflows for rock/sand handling, and enhanced motion planning, aligning with business goals of higher throughput and reduced operator intervention. Key features delivered: - ArUco detector enhancements: supports processing multiple markers, refined corner detection for better pose accuracy, and a transition from YAML-based distance loading to hardcoded distances for ArUco tags. - ROCKS task and rock detection improvements: refactored task execution for sand/rock manipulation, improved rock perception, and added end-to-end tasks for final sand/rock collection including tool handling and deposition; updates to pose handling for ROCKS-related transformations. - Switch detection and maintenance task enhancements: new modules and pipelines to detect and interact with big and small switches; integrated detection services into the task executor; configured the Pilz planner with Cartesian limits to support maintenance tasks. - Motion planning and kinematics solver configuration: updated Docker-based ROS setup and configured kinematics and planning to use the PickIkPlugin for IK solving; adjusted planning parameters for improved performance. - Inverse kinematics enhancements for reachTargetPose: refactored reachTargetPose to enable multi-attempt IK solving with random seeding, collision checking, and direct IK execution via the PTP planner. Major bugs fixed: - No explicit bugs fixed were recorded in the provided data. The month focused on feature delivery and reliability improvements through refactors and enhancements. Overall impact and accomplishments: - Increased localization reliability and robustness of perception with multi-marker ArUco support and accurate corner detection, reducing drift in pose estimation. - Expanded automation for rock/sand collection workflows, improving throughput and reducing manual intervention in field-like scenarios. - Broader automation maintenance capabilities through switch detection and safer, constrained motion planning via Cartesian limits, enabling safer operations around equipment. - Enhanced end-to-end motion planning and IK robustness, enabling faster planning cycles and more reliable reach targets on limited hardware. Technologies and skills demonstrated: - ROS and Docker-based ROS deployment; PickIkPlugin for IK solving; Pilz motion planner with Cartesian limits; PTP planning for direct IK execution; multi-attempt IK with random seeding and collision checking; pipeline and task-executor integration for modular automation.
July 2025
6 Commits • 5 Features
Jul 1, 2025Month: 2025-07 — This period delivered a focused set of core capabilities across perception, planning, and task automation in EPFLXplore/ERC_HD, enabling more reliable autonomous operation and streamlined deployment on Jetson-based systems. The work targeted robust marker-based localization, end-to-end task workflows for rock/sand handling, and enhanced motion planning, aligning with business goals of higher throughput and reduced operator intervention. Key features delivered: - ArUco detector enhancements: supports processing multiple markers, refined corner detection for better pose accuracy, and a transition from YAML-based distance loading to hardcoded distances for ArUco tags. - ROCKS task and rock detection improvements: refactored task execution for sand/rock manipulation, improved rock perception, and added end-to-end tasks for final sand/rock collection including tool handling and deposition; updates to pose handling for ROCKS-related transformations. - Switch detection and maintenance task enhancements: new modules and pipelines to detect and interact with big and small switches; integrated detection services into the task executor; configured the Pilz planner with Cartesian limits to support maintenance tasks. - Motion planning and kinematics solver configuration: updated Docker-based ROS setup and configured kinematics and planning to use the PickIkPlugin for IK solving; adjusted planning parameters for improved performance. - Inverse kinematics enhancements for reachTargetPose: refactored reachTargetPose to enable multi-attempt IK solving with random seeding, collision checking, and direct IK execution via the PTP planner. Major bugs fixed: - No explicit bugs fixed were recorded in the provided data. The month focused on feature delivery and reliability improvements through refactors and enhancements. Overall impact and accomplishments: - Increased localization reliability and robustness of perception with multi-marker ArUco support and accurate corner detection, reducing drift in pose estimation. - Expanded automation for rock/sand collection workflows, improving throughput and reducing manual intervention in field-like scenarios. - Broader automation maintenance capabilities through switch detection and safer, constrained motion planning via Cartesian limits, enabling safer operations around equipment. - Enhanced end-to-end motion planning and IK robustness, enabling faster planning cycles and more reliable reach targets on limited hardware. Technologies and skills demonstrated: - ROS and Docker-based ROS deployment; PickIkPlugin for IK solving; Pilz motion planner with Cartesian limits; PTP planning for direct IK execution; multi-attempt IK with random seeding and collision checking; pipeline and task-executor integration for modular automation.
June 2025
5 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for EPFLXplore/ERC_HD. Delivered critical startup coordination and maintenance/perception improvements across the HD system. Implemented boot/config readiness handshake from the HD system to the Control System to ensure proper initialization sequencing. Added robust maintenance panel capabilities including a rotation switch task, multi-switch handling, and a refactored command structure, plus a dedicated MaintenanceSwitches task. Improved perception and alignment using Aruco with richer pose logging and pipeline cleanup. These changes enhance initialization reliability, maintenance operation safety, and pose estimation fidelity, enabling smoother field deployments and faster issue resolution. Technologies leveraged include task-based execution, Aruco-based pose detection, and enhanced diagnostic logging for diagnostics and debugging.
5 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for EPFLXplore/ERC_HD. Delivered critical startup coordination and maintenance/perception improvements across the HD system. Implemented boot/config readiness handshake from the HD system to the Control System to ensure proper initialization sequencing. Added robust maintenance panel capabilities including a rotation switch task, multi-switch handling, and a refactored command structure, plus a dedicated MaintenanceSwitches task. Improved perception and alignment using Aruco with richer pose logging and pipeline cleanup. These changes enhance initialization reliability, maintenance operation safety, and pose estimation fidelity, enabling smoother field deployments and faster issue resolution. Technologies leveraged include task-based execution, Aruco-based pose detection, and enhanced diagnostic logging for diagnostics and debugging.
June 2025
May 2025
6 Commits • 4 Features
May 1, 2025May 2025 monthly summary for EPFLXplore/ERC_HD focused on delivering scalable task execution and perception improvements that drive business value. Key activities included implementing new Brugg probe and rock handling pipelines, advancing OAK-D camera integration for perception and reach tool testing, a comprehensive launch system cleanup to simplify startup and reduce configuration overhead, and updating dependency pointers for ERC_HD and ERC_CAMERAS to newer revisions to ensure reproducibility.
May 2025
6 Commits • 4 Features
May 1, 2025May 2025 monthly summary for EPFLXplore/ERC_HD focused on delivering scalable task execution and perception improvements that drive business value. Key activities included implementing new Brugg probe and rock handling pipelines, advancing OAK-D camera integration for perception and reach tool testing, a comprehensive launch system cleanup to simplify startup and reduce configuration overhead, and updating dependency pointers for ERC_HD and ERC_CAMERAS to newer revisions to ensure reproducibility.
April 2025
24 Commits • 14 Features
Apr 1, 2025April 2025 monthly summary for EPFLXplore/ERC_HD: Focused on delivering core motion planning and perception capabilities, improving reliability, and establishing tooling and maintenance foundations to enable scalable autonomous workflows.
24 Commits • 14 Features
Apr 1, 2025April 2025 monthly summary for EPFLXplore/ERC_HD: Focused on delivering core motion planning and perception capabilities, improving reliability, and establishing tooling and maintenance foundations to enable scalable autonomous workflows.
April 2025
March 2025
28 Commits • 9 Features
Mar 1, 2025March 2025: Key features delivered and critical fixes implemented across EPFLXplore/ERC_HD, with a clear path to hardware deployment and reliable rock-pipeline testing. Focus remained on business value: enabling local ArUco detection prep for Jetson, stabilizing simulations, unifying/dockerizing the stack, and advancing rocks pose-estimation workflows with FSM and camera integration.
March 2025
28 Commits • 9 Features
Mar 1, 2025March 2025: Key features delivered and critical fixes implemented across EPFLXplore/ERC_HD, with a clear path to hardware deployment and reliable rock-pipeline testing. Focus remained on business value: enabling local ArUco detection prep for Jetson, stabilizing simulations, unifying/dockerizing the stack, and advancing rocks pose-estimation workflows with FSM and camera integration.
February 2025
8 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for EPFLXplore/ERC_HD: Focused on stabilizing the perception pipeline, enhancing hardware control reliability, and trimming repository debt to reduce maintenance risk. Delivered features that improve real-time data flow, centralized configuration, and robust task execution, while aligning downstream dependencies and removing obsolete assets. Resulting business value includes higher data quality, more predictable autonomous behavior, faster onboarding, and lower maintenance overhead.
8 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for EPFLXplore/ERC_HD: Focused on stabilizing the perception pipeline, enhancing hardware control reliability, and trimming repository debt to reduce maintenance risk. Delivered features that improve real-time data flow, centralized configuration, and robust task execution, while aligning downstream dependencies and removing obsolete assets. Resulting business value includes higher data quality, more predictable autonomous behavior, faster onboarding, and lower maintenance overhead.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance snapshot for EPFLXplore/ERC_HD focused on delivering testing infrastructure improvements and aligning utilities with new testing workflows.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance snapshot for EPFLXplore/ERC_HD focused on delivering testing infrastructure improvements and aligning utilities with new testing workflows.
December 2024
4 Commits • 4 Features
Dec 1, 2024December 2024 — EPFLXplore/ERC_HD: Delivered core HD subsystem and camera integration enhancements, enabling faster startup, real-time motor feedback, and IK-enabled torque control. Implemented a new camera submodule with a motor init script; standardized EtherCAT on eth0 with motor status timers/publishers; added directional torque publishing for IK and updated the IK control callback; introduced an HD Finite State Machine and a Control System interface node for safer, modular operation. No major bugs reported; commits lay groundwork for future scalability and maintainability.
4 Commits • 4 Features
Dec 1, 2024December 2024 — EPFLXplore/ERC_HD: Delivered core HD subsystem and camera integration enhancements, enabling faster startup, real-time motor feedback, and IK-enabled torque control. Implemented a new camera submodule with a motor init script; standardized EtherCAT on eth0 with motor status timers/publishers; added directional torque publishing for IK and updated the IK control callback; introduced an HD Finite State Machine and a Control System interface node for safer, modular operation. No major bugs reported; commits lay groundwork for future scalability and maintainability.
December 2024
Activity
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Quality Metrics
Correctness83.6%
Maintainability84.6%
Architecture82.2%
Performance73.4%
AI Usage21.2%
Skills & Technologies
Programming Languages
C++CMakeDockerfileGitMarkdownPythonShellXMLXacroYAML
Technical Skills
3D TransformationsAction ServersAsynchronous ProgrammingAutonomous DrivingBuild System ConfigurationC++CMakeCode CleanupCode RefactoringCommand PatternComputer VisionConfiguration ManagementControl SystemsCoordinate TransformationsDocker
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