huggingface/lerobot
Apr 2025 – Jun 2025
3 Months active
Languages Used
PythonMarkdown
Technical Skills
Computer VisionDeep LearningMachine LearningNatural Language ProcessingReinforcement LearningRobotics
mshukor
PROFILE
Mshukor
Worked on the huggingface/lerobot repository over three months, focusing on integrating advanced vision-language-action models and improving contributor documentation. Delivered support for PI0+FAST and SmolVLA policies, enabling efficient action tokenization and visual-language to action processing for robotics tasks. Enhanced evaluation-time environment utilities to streamline task inference and observation handling, and extended policy configuration and modeling components for scalable deployment. Updated documentation to improve author attribution and citation formatting, aligning metadata across README and BibTeX files. Utilized Python, deep learning, and natural language processing to implement these features, emphasizing maintainability and extensibility in both code and documentation throughout the development cycle.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
2,713
Activity Months3
Your Network
115 peopleShared Repositories
115
Cotton HuMember
Haoming SongMember
von Neumann 101Member
Abhay DeshpandeMember
Iori YanokuraMember
Adil ZouitineMember
AlexCMember
Alexis AlvaMember
Alexis DMember
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025In June 2025, delivered SmolVLA policy integration for the hugggingface lerobot project? Wait, we should not insert typos. We'll craft a clean summary.
2 Commits • 1 Features
Jun 1, 2025In June 2025, delivered SmolVLA policy integration for the hugggingface lerobot project? Wait, we should not insert typos. We'll craft a clean summary.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 highlights for huggingface/lerobot: Implemented Author Attribution and BibTeX Citation Formatting to improve contributor recognition and citation consistency. Updated documentation to align attribution across README and BibTeX, and corrected a duplicate author in BibTeX citations. These changes were implemented via two README.md updates.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 highlights for huggingface/lerobot: Implemented Author Attribution and BibTeX Citation Formatting to improve contributor recognition and citation consistency. Updated documentation to align attribution across README and BibTeX, and corrected a duplicate author in BibTeX citations. These changes were implemented via two README.md updates.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary: Delivered PI0+FAST Vision-Language-Action Model support and PI0FAST policy integration for huggingface/lerobot. This work enables efficient action tokenization, policy configuration/integration, and enhances evaluation-time environment utilities for task inference and observation handling. The update positions lerobot for scalable, lower-latency decision-making in action-driven tasks, and lays the groundwork for broader deployment of PI0+FAST models.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary: Delivered PI0+FAST Vision-Language-Action Model support and PI0FAST policy integration for huggingface/lerobot. This work enables efficient action tokenization, policy configuration/integration, and enhances evaluation-time environment utilities for task inference and observation handling. The update positions lerobot for scalable, lower-latency decision-making in action-driven tasks, and lays the groundwork for broader deployment of PI0+FAST models.
April 2025
Activity
Loading activity data...
Quality Metrics
Correctness98.0%
Maintainability92.0%
Architecture98.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Computer VisionDeep LearningDocumentationMachine LearningNatural Language ProcessingPythonReinforcement LearningRobotics
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline