ECLAIR-Robotics/crackle
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
3D GeometryNumPyNumerical ComputationOpen3DPoint Cloud ProcessingSciPy
Sanskar
PROFILE
Sanskar
Sanskar developed a Point Cloud Manipulation Toolkit for the ECLAIR-Robotics/crackle repository, focusing on enhancing 3D perception workflows in robotics. Using Python, NumPy, and Open3D, Sanskar implemented features for cropping point clouds to bounding boxes, approximating data with spheres or cuboids, and extracting boundary points from overhead views. The toolkit enables more precise object segmentation and compact geometric representations, supporting downstream planning and control tasks. Sanskar’s modular code design and effective use of version control contributed to a robust, maintainable addition to the codebase. The work addressed the need for efficient, boundary-aware 3D data processing in robotics applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
260
Activity Months1
Your Network
10 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for ECLAIR-Robotics/crackle: Delivered a new Point Cloud Manipulation Toolkit to crackle_vision, enabling cropping to bounding boxes, sphere/cuboid approximations, and boundary-point extraction from overhead views. Implemented as part of the ECLAIR-Robotics/crackle repository (commit 3f5513eb18b9154edae9e6f5e05b4282c07d2880). No major bugs documented for this period in the provided data. Impact: enhances the 3D perception pipeline by enabling tighter object cropping, more compact data representations via geometric approximations, and improved boundary-aware analysis for robotics applications. Skills demonstrated: 3D point cloud processing, geometric approximations, bounding-box workflows, modular code design, and effective use of version control. Business value: faster feature iteration, improved perception accuracy, and stronger foundation for downstream planning and control.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for ECLAIR-Robotics/crackle: Delivered a new Point Cloud Manipulation Toolkit to crackle_vision, enabling cropping to bounding boxes, sphere/cuboid approximations, and boundary-point extraction from overhead views. Implemented as part of the ECLAIR-Robotics/crackle repository (commit 3f5513eb18b9154edae9e6f5e05b4282c07d2880). No major bugs documented for this period in the provided data. Impact: enhances the 3D perception pipeline by enabling tighter object cropping, more compact data representations via geometric approximations, and improved boundary-aware analysis for robotics applications. Skills demonstrated: 3D point cloud processing, geometric approximations, bounding-box workflows, modular code design, and effective use of version control. Business value: faster feature iteration, improved perception accuracy, and stronger foundation for downstream planning and control.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
3D GeometryNumPyNumerical ComputationOpen3DPoint Cloud ProcessingSciPy
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline