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DanielShapir

PROFILE

Danielshapir

Daniel Shapira developed advanced perception and calibration features for the GreenBlitz/GB-Robot-Template repository over a three-month period. He engineered a 3D spatial perception pipeline, transforming object detections from 2D to 3D to enhance the robot’s spatial awareness and interaction capabilities. Using Java and object-oriented programming, Daniel migrated vision system checks to leverage 3D translation, improving detection accuracy and supporting safer navigation. He also implemented automated camera pose calibration, enabling reliable multi-measurement pose calculation and logging to streamline deployment and improve operational accuracy. His work demonstrated depth in robotics, computer vision, and sensor integration, with disciplined version control practices throughout.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
150
Activity Months3

Work History

January 2026

1 Commits • 1 Features

Jan 1, 2026

January 2026 focused on delivering foundational automation to improve calibration reliability for the GB-Robot-Template. Implemented Automated Camera Pose Calibration, enabling calculation and logging of the camera pose relative to the robot using multiple measurements. The change was committed and integrated into Master via PR #781 (commit e788e97e5abc2921bfd5be4c2e4b5307f94fe271). This work enhances deployment speed, traceability, and operational accuracy for perception tasks.

December 2025

1 Commits • 1 Features

Dec 1, 2025

Monthly summary for 2025-12 focusing on feature delivery in GreenBlitz/GB-Robot-Template. The main achievement is the Vision System improvement via a 3D translation-based object detection enhancement, with an upgrade from Translation2d to Translation3d to increase perception accuracy and robustness. No major bugs fixed this month; the work concentrated on feature delivery and code quality to improve the robot’s perception pipeline. Impact includes safer navigation and more deterministic task planning thanks to improved object detection reliability. Technologies/skills demonstrated include 3D spatial reasoning in computer vision, migration/refactoring of vision checks, and traceable commits (PR #775).

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025 monthly summary for GreenBlitz/GB-Robot-Template: Key feature delivered: 3D Spatial Perception for Object Observations, transforming detections from 2D to 3D (translation3d) to enhance spatial awareness and object interaction. Commit 229b294330e45a58e5ea60f2fc523b3b7ffb9733 documents this change (Transform detected object observation to translation3d). Impact: strengthened perception pipeline for safer navigation and more robust manipulation; supports downstream planning and control modules. Bugs fixed: no major bugs fixed this month; baseline stability maintained. Technologies/skills demonstrated: 3D transformation math, perception pipeline integration, and strong version-control traceability. Repository: GreenBlitz/GB-Robot-Template.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Java

Technical Skills

Javacommand-based programmingcomputer visionobject-oriented programmingroboticssensor integration

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

GreenBlitz/GB-Robot-Template

Nov 2025 Jan 2026
3 Months active

Languages Used

Java

Technical Skills

Javaobject-oriented programmingroboticscomputer visioncommand-based programmingsensor integration

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