StanfordVL/OmniGibson
Nov 2025 – Feb 2026
2 Months active
Languages Used
PythonYAML
Technical Skills
Python programmingYAMLYAML configurationalgorithm developmentautomationconfiguration management
Andi Xu
PROFILE
Andi Xu
Andi Xu developed a modular, YAML-driven robot initialization and configuration framework for the StanfordVL/OmniGibson repository, enabling rapid onboarding of diverse robot models and scalable configuration management. Leveraging Python and YAML, Andi unified robot control and sensing by introducing a new Robot class that integrates locomotion, manipulation, and sensor modalities for simulation environments. The work included enhancements to locomotion, such as a holonomic base, and expanded manipulation capabilities. Andi also improved robustness by fixing base configuration logic for non-mobile robots, ensuring stable and reproducible simulations. The engineering demonstrated depth in robotics configuration, automation, and object-oriented software architecture.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
4
Lines of code
5,978
Activity Months2
Your Network
205 peopleSame Organization
@umich.edu184
Avionics CompMember
Almo-oMember
Alexander SmartMember
Abby DukeMember
adfarthMember
Alex HansenMember
Aniket JivaniMember
Axel KerbecMember
Arvind KutirakulamMember
Work History
February 2026
1 Commits
Feb 1, 2026February 2026: Fixed robot base configuration robustness in OmniGibson by adding a fixed-base mechanism for non-mobile robots based on locomotion type. This corrected incorrect floating-base assignments, boosting simulation stability, configuration reliability, and reproducibility for experiments.
1 Commits
Feb 1, 2026February 2026: Fixed robot base configuration robustness in OmniGibson by adding a fixed-base mechanism for non-mobile robots based on locomotion type. This corrected incorrect floating-base assignments, boosting simulation stability, configuration reliability, and reproducibility for experiments.
February 2026
November 2025
13 Commits • 4 Features
Nov 1, 2025November 2025 (2025-11) monthly summary for StanfordVL/OmniGibson. Delivered a modular YAML-driven Robot Initialization and Configuration Framework across multiple models, introduced a unified Robot class integrating controllable features and sensors for simulation, and expanded locomotion and manipulation capabilities. Key robustness improvements included fixing init() kwargs handling and adding per-model type codes. These changes enable rapid onboarding of new robot models, richer simulation environments, and scalable configuration management, delivering clear business value by reducing integration timelines and enabling broader experimentation.
November 2025
13 Commits • 4 Features
Nov 1, 2025November 2025 (2025-11) monthly summary for StanfordVL/OmniGibson. Delivered a modular YAML-driven Robot Initialization and Configuration Framework across multiple models, introduced a unified Robot class integrating controllable features and sensors for simulation, and expanded locomotion and manipulation capabilities. Key robustness improvements included fixing init() kwargs handling and adding per-model type codes. These changes enable rapid onboarding of new robot models, richer simulation environments, and scalable configuration management, delivering clear business value by reducing integration timelines and enabling broader experimentation.
Activity
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Quality Metrics
Correctness85.8%
Maintainability80.0%
Architecture82.8%
Performance78.6%
AI Usage31.6%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Python programmingYAMLYAML configurationalgorithm developmentautomationconfiguration managementcontrol systemsmanipulationobject-oriented programmingroboticsrobotics configurationsensor integrationsimulationsoftware architecturesoftware development
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