aiplan4eu/unified-planning
Oct 2025 – Jun 2026
7 Months active
Languages Used
PythonPlain TextYAMLreStructuredText
Technical Skills
Code RefactoringError HandlingPDDLProcess ManagementPython DevelopmentSoftware Design
Davide Lusuardi
PROFILE
Davide Lusuardi
Contributed to the aiplan4eu/unified-planning repository by developing and refining automated planning features, focusing on robust PDDL parsing and writing, temporal reasoning, and motion planning. Leveraged Python and object-oriented design to enhance code maintainability, implement compiler improvements, and support advanced planning constructs such as open-interval actions and time-triggered metrics. Improved CI/CD reliability and documentation, enabling safer releases and faster onboarding. Addressed core architectural concerns by refactoring motion systems, evolving configuration models, and ensuring reliable object equality. Through targeted bug fixes and code cleanup, delivered more reliable plan validation and domain modeling, supporting both research and production planning workflows.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
32Total
Bugs
3
Commits
32
Features
10
Lines of code
115,165
Activity Months7
Your Network
31 peopleSame Organization
@fbk.eu14
Shared Repositories
17
Arthur Bit-MonnotMember
AlelafarMember
Alessandro ValentiniMember
Andrea MicheliMember
Joan Espasa ArxerMember
Enrico ScalaMember
Enrico ScalaMember
Enrico ScalaMember
Luca FrambaMember
Work History
June 2026
6 Commits • 2 Features
Jun 1, 2026June 2026Monthly summary for aiplan4eu/unified-planning focusing on delivering robust TAMP/SAMP domain enhancements, strengthening core object equality, and improving code maintainability to support reliable planning and faster iteration. Key details: - TAMP/SAMP domain enhancements: improved problem kind detection, scheduling problem equality semantics, and motion-constraint handling; added tests and documentation updates for motion constraints. - Core equality fixes: implemented __eq__ and __hash__ for MovableObject and ConfigurationObject to ensure reliable plan comparisons. - Test stabilization and documentation: updated TAMP tests and expanded SAMP problem kind documentation to reduce ambiguity. - Code health and maintainability: removed unused imports and cleaned up the codebase for readability and easier future maintenance. Impact: - More reliable problem classification and plan generation, reduced risk of subtle equality-related bugs, and faster onboarding for new contributors due to cleaner code.
6 Commits • 2 Features
Jun 1, 2026June 2026Monthly summary for aiplan4eu/unified-planning focusing on delivering robust TAMP/SAMP domain enhancements, strengthening core object equality, and improving code maintainability to support reliable planning and faster iteration. Key details: - TAMP/SAMP domain enhancements: improved problem kind detection, scheduling problem equality semantics, and motion-constraint handling; added tests and documentation updates for motion constraints. - Core equality fixes: implemented __eq__ and __hash__ for MovableObject and ConfigurationObject to ensure reliable plan comparisons. - Test stabilization and documentation: updated TAMP tests and expanded SAMP problem kind documentation to reduce ambiguity. - Code health and maintainability: removed unused imports and cleaned up the codebase for readability and easier future maintenance. Impact: - More reliable problem classification and plan generation, reduced risk of subtle equality-related bugs, and faster onboarding for new contributors due to cleaner code.
June 2026
May 2026
3 Commits • 1 Features
May 1, 2026Concise monthly summary for 2026-05 focusing on key achievements in aiplan4eu/unified-planning: highlights key features delivered, major bugs fixed, business value, and technologies demonstrated. This month, the primary focus was internal architecture improvements to enhance maintainability and configurability, with workloads around motion system refactor, configuration model enhancements, and notebook compatibility. These changes lay groundwork for future extensibility and faster iteration with notebooks and Tampest engine.
May 2026
3 Commits • 1 Features
May 1, 2026Concise monthly summary for 2026-05 focusing on key achievements in aiplan4eu/unified-planning: highlights key features delivered, major bugs fixed, business value, and technologies demonstrated. This month, the primary focus was internal architecture improvements to enhance maintainability and configurability, with workloads around motion system refactor, configuration model enhancements, and notebook compatibility. These changes lay groundwork for future extensibility and faster iteration with notebooks and Tampest engine.
April 2026
9 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for aiplan4eu/unified-planning. Delivered two major features across the repository with accompanying testing and refactoring to improve robustness and maintainability. Both features focus on improving the correctness, reliability, and observability of the planning system under undefined values and time-triggered scenarios, delivering tangible business value through higher quality plans and reduced debugging time.
9 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for aiplan4eu/unified-planning. Delivered two major features across the repository with accompanying testing and refactoring to improve robustness and maintainability. Both features focus on improving the correctness, reliability, and observability of the planning system under undefined values and time-triggered scenarios, delivering tangible business value through higher quality plans and reduced debugging time.
April 2026
March 2026
1 Commits
Mar 1, 2026March 2026 monthly summary for the developer: Key bug fix focused on Delta Simple Temporal Network (DSTN) distance calculation to enhance reliability of temporal reasoning in unified-planning. The change corrects the _inc_check logic to address a float precision issue, ensuring accurate distance checks and reducing the likelihood of misclassifying temporal constraints. This targeted fix improves plan feasibility correctness without impacting overall performance.
March 2026
1 Commits
Mar 1, 2026March 2026 monthly summary for the developer: Key bug fix focused on Delta Simple Temporal Network (DSTN) distance calculation to enhance reliability of temporal reasoning in unified-planning. The change corrects the _inc_check logic to address a float precision issue, ensuring accurate distance checks and reducing the likelihood of misclassifying temporal constraints. This targeted fix improves plan feasibility correctness without impacting overall performance.
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for aiplan4eu/unified-planning focusing on code quality, performance, and documentation tooling. Highlights include FNode readability and performance improvements, targeted fixes for compatibility with Black, and environment/doc tooling updates to align with modern Python versions and docs tooling.
5 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for aiplan4eu/unified-planning focusing on code quality, performance, and documentation tooling. Highlights include FNode readability and performance improvements, targeted fixes for compatibility with Black, and environment/doc tooling updates to align with modern Python versions and docs tooling.
January 2026
December 2025
5 Commits • 2 Features
Dec 1, 2025Month: 2025-12 | Repository: aiplan4eu/unified-planning Overview: This month focused on stabilizing planning primitives, extending domain modeling, and strengthening CI reliability, enabling faster iteration and safer releases. Key features delivered: - PDDLReader Open Interval Parsing: fixed parsing of left- or right-open durative actions by introducing open-interval flags and adjusting duration constraint handling. (commit 6ac09e8aa300065c340834778d2d605b7b828acf) - PDDLWriter Domain Objects for Events and Processes: extended writer to handle domain objects for events and processes, improving representation of preconditions and effects in planning problems. (commit 8ed13a4533ceedc2771b4ab1be5986a70d34d87b) - CI and Dependency Maintenance: upgraded macOS test runner to version 15; updated tamer and enhsp to latest; refreshed contributors list. (commits 0d8a2010f0310a6642c0d7e3b8197e927ec92a7f, 490652cfcbdaad69855715b77c45856bfd29b47c, 8f8ac3088a6f34fce0e8369e8baa2340d4d0f3ab) Major bugs fixed: - Fixed PDDLReader parsing for left- and right-open durative actions (ensuring correct duration constraints and action semantics). Overall impact and accomplishments: - Improved planning accuracy for open-interval constructs, enabling more reliable planning solutions. - More expressive domain representations for events and processes, simplifying problem modeling. - Superior CI stability and compatibility with newer toolchains, reducing integration risk and accelerating development cycles. - Strengthened repository health and contributor onboarding through updated lists and dependencies. Technologies/skills demonstrated: - PDDL parsing and writing improvements, robust test/CI maintenance, dependency management, cross-repo collaboration, and contributor governance.
December 2025
5 Commits • 2 Features
Dec 1, 2025Month: 2025-12 | Repository: aiplan4eu/unified-planning Overview: This month focused on stabilizing planning primitives, extending domain modeling, and strengthening CI reliability, enabling faster iteration and safer releases. Key features delivered: - PDDLReader Open Interval Parsing: fixed parsing of left- or right-open durative actions by introducing open-interval flags and adjusting duration constraint handling. (commit 6ac09e8aa300065c340834778d2d605b7b828acf) - PDDLWriter Domain Objects for Events and Processes: extended writer to handle domain objects for events and processes, improving representation of preconditions and effects in planning problems. (commit 8ed13a4533ceedc2771b4ab1be5986a70d34d87b) - CI and Dependency Maintenance: upgraded macOS test runner to version 15; updated tamer and enhsp to latest; refreshed contributors list. (commits 0d8a2010f0310a6642c0d7e3b8197e927ec92a7f, 490652cfcbdaad69855715b77c45856bfd29b47c, 8f8ac3088a6f34fce0e8369e8baa2340d4d0f3ab) Major bugs fixed: - Fixed PDDLReader parsing for left- and right-open durative actions (ensuring correct duration constraints and action semantics). Overall impact and accomplishments: - Improved planning accuracy for open-interval constructs, enabling more reliable planning solutions. - More expressive domain representations for events and processes, simplifying problem modeling. - Superior CI stability and compatibility with newer toolchains, reducing integration risk and accelerating development cycles. - Strengthened repository health and contributor onboarding through updated lists and dependencies. Technologies/skills demonstrated: - PDDL parsing and writing improvements, robust test/CI maintenance, dependency management, cross-repo collaboration, and contributor governance.
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025 highlights: Reliability and cross-version PDDL support improvements for aiplan4eu/unified-planning, with a focus on robustness in planner termination and accuracy in PDDL generation across versions.
3 Commits • 1 Features
Oct 1, 2025October 2025 highlights: Reliability and cross-version PDDL support improvements for aiplan4eu/unified-planning, with a focus on robustness in planner termination and accuracy in PDDL generation across versions.
October 2025
Activity
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Quality Metrics
Correctness93.8%
Maintainability90.6%
Architecture91.0%
Performance90.6%
AI Usage24.4%
Skills & Technologies
Programming Languages
Plain TextPythonYAMLreStructuredText
Technical Skills
AI PlanningAI planningAutomated PlanningCI/CDCode FormattingCode MaintenanceCode RefactoringCompiler DesignContinuous IntegrationDevOpsDocumentationError HandlingGitHub ActionsPDDLProcess Management
Repositories Contributed To
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