aiplan4eu/unified-planning
Mar 2026 – Mar 2026
1 Month active
Languages Used
Python
Technical Skills
Domain ModelingPDDLParser DevelopmentPythonUnit Testingdomain-specific languages
Joan Espasa Arxer
PROFILE
Joan Espasa Arxer
Cat Mandros contributed to the aiplan4eu/unified-planning repository by enhancing the expressiveness of planning models through the implementation of object-specific fluents in PDDL parsing and domain/problem definitions. Using Python and leveraging expertise in domain modeling and parser development, Cat enabled the parser to support more nuanced planning scenarios. The work also included targeted improvements to the PDDL I/O test suite, focusing on consolidating assertions and refining formatting to improve readability and maintainability. These changes strengthened the robustness of the parser and laid groundwork for future planning algorithm extensions, reflecting a thoughtful approach to both feature development and software testing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
323
Activity Months1
Your Network
17 peopleShared Repositories
17
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Andrea MicheliMember
Enrico ScalaMember
Enrico ScalaMember
Enrico ScalaMember
Luca FrambaMember
Gabi RoegerMember
Work History
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for the aiplan4eu/unified-planning project, focusing on delivering expressiveness in planning models and improving test quality. The month centered on enabling object-specific fluents in PDDL parsing and domain/problem definitions, plus targeted test code formatting improvements to boost maintainability and readability.
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for the aiplan4eu/unified-planning project, focusing on delivering expressiveness in planning models and improving test quality. The month centered on enabling object-specific fluents in PDDL parsing and domain/problem definitions, plus targeted test code formatting improvements to boost maintainability and readability.
March 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
Domain ModelingPDDLParser DevelopmentPythonUnit Testingdomain-specific languagesparser developmentplanning algorithmssoftware testingunit testing
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