Quantify Issues

Recent GitHub Issues Activity

_{Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.}

Quantify commits

Quantified Commit Activity Over 30 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
Simon Alibert		4	7/3/1	40	163	10923
Remi		6	7/5/0	31	53	4340
Michel Aractingi		3	2/2/0	7	25	3847
Jess Moss (jess-moss)		2	1/0/0	7	12	1434
Mishig		1	9/8/0	8	2	146
Alexander Soare		1	6/4/1	4	6	138
Joe Clinton		1	1/1/0	1	1	17
Jack Vial		1	3/3/0	3	3	11
Kenneth Gerald Hamilton		1	1/1/0	1	1	2
Dana Aubakirova		1	1/1/0	1	1	2
Leroy Wang (liruiw)		0	1/0/0	0	0	0
Samuel Zapolsky (samzapo)		0	1/0/0	0	0	0
lookas (hilookas)		0	2/0/0	0	0	0
Julien Perez (perezjln)		0	1/0/0	0	0	0
Sitarama Raju Chekuri (meetsitaram)		0	1/0/1	0	0	0
youliang (youliangtan)		0	0/0/1	0	0	0
Husain Zaidi (husain-zaidi)		0	0/0/1	0	0	0
None (resolver101757)		0	1/0/0	0	0	0
Ville Kuosmanen (villekuosmanen)		0	2/0/0	0	0	0
Mayank Chaturvedi (MayankChaturvedi)		0	1/0/0	0	0	0
shantanuparab-tr (shantanuparab-tr)		0	2/0/2	0	0	0

_{PRs: created by that dev and opened/merged/closed-unmerged during the period}

Report On: Fetch issues

Recent Activity Analysis

The recent activity in the GitHub repository for 🤗 LeRobot indicates a vibrant engagement with 38 open issues, showcasing a mix of inquiries, bug reports, and feature requests. Notably, several issues reflect ongoing discussions about integration with new methodologies and improvements in functionality, particularly concerning the handling of datasets and model training.

Several issues highlight common themes such as installation difficulties, performance concerns, and requests for enhanced documentation. There appears to be a significant focus on improving user experience and addressing technical challenges related to dataset management and model evaluation.

Issue Details

Recent Issues

1. Issue #451: Inquiry about Implementation of "Aloha Unleashed"

   • Priority: Low
   • Status: Open
   • Created: 1 day ago
   • Updated: N/A

2. Issue #449: UnboundLocalError: local variable 'safe_action' referenced before assignment

   • Priority: Medium
   • Status: Open
   • Created: 3 days ago
   • Updated: 1 day ago

3. Issue #446: 🤗 emoji causing push_dataset_card_to_hub to fail with UnicodeEncodeError

   • Priority: High
   • Status: Open
   • Created: 5 days ago
   • Updated: 1 day ago

4. Issue #444: Add test coverage to rollout and _compile_episode_data in eval.py

   • Priority: Medium
   • Status: Open
   • Created: 6 days ago
   • Updated: N/A

5. Issue #441: Fail on calibration

   • Priority: High
   • Status: Open
   • Created: 10 days ago
   • Updated: 1 day ago

6. Issue #440: Improve LeRobotDataset

   • Priority: Medium
   • Status: Open
   • Created: 11 days ago
   • Updated: 8 days ago

Analysis of Notable Issues

• The issue regarding the implementation of "Aloha Unleashed" (#451) suggests an interest in integrating new methodologies into existing frameworks, which could enhance the project's capabilities.

• The UnboundLocalError (#449) indicates potential gaps in error handling within the codebase, which could lead to user frustration if not addressed promptly.

• The UnicodeEncodeError (#446) highlights compatibility issues that may arise from user-generated content, emphasizing the need for robust input validation.

• The request for additional test coverage (#444) reflects a proactive approach to ensuring code reliability and robustness, which is crucial for maintaining user trust.

• Calibration failures (#441) point to practical challenges users face when working with hardware integrations, indicating a need for clearer documentation or troubleshooting guides.

• The improvement suggestions for LeRobotDataset (#440) indicate ongoing efforts to enhance data handling efficiency, which is critical for performance optimization.

Conclusion

The current state of open issues in the 🤗 LeRobot repository reveals an active community engaged in refining the project through feedback and collaboration. Addressing these issues effectively will not only improve user experience but also strengthen the overall functionality and reliability of the library.

Report On: Fetch pull requests

Overview

The analysis of the pull requests (PRs) for the 🤗 LeRobot project reveals a dynamic and active development environment. The project has seen a mix of enhancements, bug fixes, and new feature additions, reflecting its growth and the community's engagement. Notably, there is a strong focus on improving usability, expanding functionality, and ensuring robustness through thorough testing and validation.

Summary of Pull Requests

Open Pull Requests

• PR #450: Fixes a Unicode error on Windows during dataset uploads by removing emojis from dataset cards.
• PR #447: Enhances busy_wait for better precision and non-blocking behavior across platforms.
• PR #445: Upgrades OnlineBuffer to DataBuffer, generalizing its use beyond online training loops.
• PR #442: Addresses a segmentation fault issue with OpenCV cameras by improving thread safety and mocking behavior in tests.
• PR #437: Introduces a script for recording training data from Gym simulations and replaying it in simulation environments.
• PR #429: Adds easy support for training on Aloha robots with new configurations.
• PR #428: Fixes Docker development image issues.
• PR #419: Adds support for Feetech motors, expanding hardware compatibility.

Closed Pull Requests

• PR #448: Reverts to synchronous environments by default due to reported issues with asynchronous batches.
• PR #443: Fixes nightly tests broken by recent changes in dependencies.
• PR #434: Adds audio cues for recording indicators but is closed as duplicate functionality exists with the say function.
• PR #433: Fixes slow camera FPS issues with Aloha robots by adjusting image writer settings.

Analysis of Pull Requests

The PRs indicate several key themes in the ongoing development of 🤗 LeRobot:

1. Usability Improvements: Many PRs focus on enhancing user experience, such as fixing bugs that affect hardware interaction (e.g., PRs #442, #434) or improving configuration options (e.g., PRs #429, #419).

2. Feature Expansions: The project is actively expanding its capabilities, as seen in PRs that add support for new hardware (e.g., PR #419) or improve existing functionalities (e.g., PRs #445, #437).

3. Community Engagement: The variety of contributors and the range of issues addressed suggest a healthy level of community involvement. Contributors are not only fixing bugs but also adding features and improvements based on their experiences.

4. Focus on Robustness and Testing: Several PRs include enhancements to testing frameworks or add new tests to ensure reliability (e.g., PRs #445, #442). This focus on testing is crucial for maintaining the integrity of the project as it grows.

5. Adaptation to User Needs: The quick response to issues raised by users or contributors (e.g., reverting changes that caused problems with asynchronous environments in PR #448) demonstrates an adaptive approach to development.

In conclusion, 🤗 LeRobot is evolving rapidly with active contributions from the community. The focus on usability, feature expansion, robust testing, and adaptability to user feedback highlights its commitment to providing a comprehensive toolset for robotics research and applications.

Report On: Fetch commits

Repo Commits Analysis

Development Team and Recent Activity

Team Members and Recent Activities

1. Alexander Soare (alexander-soare)

   • Recent Commits: 4 commits in the last 30 days.
   • Notable Work:
   • Adjusted configurations to prevent using async environments by default.
   • Raised errors for incompatible parameters in policies.
   • Collaborations: Worked with Remi and Jack Vial on various issues.

2. Simon Alibert (aliberts)

   • Recent Commits: 40 commits in the last 30 days.
   • Notable Work:
   • Fixed nightlies, improved camera handling, and made significant changes to the Docker setup.
   • Collaborated on multiple visualization improvements and bug fixes.
   • Collaborations: Frequently worked with Remi, Mishig, and Jess Moss.

3. Dana Aubakirova (danaaubakirova)

   • Recent Commits: 1 commit in the last 30 days.
   • Notable Work: Fixed assertion error messages in utility scripts.

4. Remi Cadene (Cadene)

   • Recent Commits: 31 commits in the last 30 days.
   • Notable Work:
   • Worked on various bug fixes, enhancements for camera integration, and added new features for robot control.
   • Ongoing work on the Feetech motor integration.
   • Collaborations: Collaborated with Simon Alibert and Jess Moss.

5. Mishig (mishig25)

   • Recent Commits: 8 commits in the last 30 days.
   • Notable Work: Focused on visualization improvements and error handling in templates.

6. Joe Clinton (Joeclinton1)

   • Recent Commits: 1 commit in the last 30 days.
   • Notable Work: Fixed a bug related to VQ-Bet functionality.

7. Jack Vial (jackvial)

   • Recent Commits: 3 commits in the last 30 days.
   • Notable Work: Addressed configuration issues in policy files.

8. Jess Moss (jess-moss)

   • Recent Commits: 7 commits in the last 30 days.
   • Notable Work: Made significant changes to camera scripts and motor configurations.

9. Michel Aractingi (michel-aractingi)

   • Recent Commits: 7 commits in the last 30 days.
   • Notable Work: Implemented changes related to TD-MPC policies and optimizer configurations.

Patterns and Themes

• The team is actively engaged in fixing bugs and enhancing existing functionalities, particularly around camera integration and robot control systems.
• There is a strong emphasis on collaboration among team members, as evidenced by multiple co-authored commits and shared responsibilities across various features.
• Recent activities indicate a focus on improving user experience through better error handling, visualization tools, and documentation updates.
• The volume of commits from Simon Alibert suggests he is heavily involved in ongoing enhancements, particularly related to CI/CD processes and Docker configurations.
• The presence of multiple branches indicates ongoing feature development, with several members working on parallel tasks that may converge into mainline features soon.

Conclusion

The development team is actively progressing on multiple fronts within the 🤗 LeRobot project, focusing on both feature enhancements and critical bug fixes. Collaboration is a key aspect of their workflow, contributing to a dynamic development environment aimed at improving robotics applications through robust software solutions.