RobotLocomotion/drake
Oct 2024 – Sep 2025
12 Months active
Languages Used
C++PythonBazel
Technical Skills
C++ DevelopmentOptimizationSoftware EngineeringBindings DevelopmentC++Computational Geometry
Thomas Cohn
PROFILE
Thomas Cohn
Over the past year, Thomas Cohn developed advanced optimization and motion planning features for the RobotLocomotion/drake repository, focusing on robust region computation, solver integration, and flexible constraint handling. He engineered parallelized algorithms and enhanced Python bindings, enabling scalable collision-free region growth and trajectory optimization workflows. Using C++ and Python, Thomas implemented configurable solvers, parameterized subspace growth, and automatic differentiation support, while improving test coverage and documentation for developer clarity. His work addressed edge cases in geometry and constraint satisfaction, introduced bounded execution controls, and streamlined API usability, resulting in deeper reliability and extensibility for robotics and computational geometry applications.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
63Total
Bugs
9
Commits
63
Features
28
Lines of code
15,342
Activity Months12
Your Network
214 people
Work History
September 2025
8 Commits • 3 Features
Sep 1, 2025In Sep 2025, delivered robust enhancements to IrisNp2 constraint handling and sampling in RobotLocomotion/drake, enabling reliable use of multiple hyperplanes with additional constraints and a fail-safe path when nonlinear solves fail. Implemented performance and reliability improvements in IrisNp2 testing, and expanded configurability and representations for IrisNp2 and IrisZo, alongside a critical fix to IrisZo's maximum sample cap. These changes improve planning accuracy, safety, and developer productivity by reducing flaky tests, speeding validation cycles, and enabling more predictable collision checking under complex constraints.
8 Commits • 3 Features
Sep 1, 2025In Sep 2025, delivered robust enhancements to IrisNp2 constraint handling and sampling in RobotLocomotion/drake, enabling reliable use of multiple hyperplanes with additional constraints and a fail-safe path when nonlinear solves fail. Implemented performance and reliability improvements in IrisNp2 testing, and expanded configurability and representations for IrisNp2 and IrisZo, alongside a critical fix to IrisZo's maximum sample cap. These changes improve planning accuracy, safety, and developer productivity by reducing flaky tests, speeding validation cycles, and enabling more predictable collision checking under complex constraints.
September 2025
August 2025
8 Commits • 3 Features
Aug 1, 2025In August 2025, delivered core optimization feature expansions and API improvements for Drake, enhanced IrisNP2 capabilities (sampling, naming, and compatibility), and strengthened Python bindings and parameterization. Fixed reliability issues in IrisNp2 logging and constraint-parameterization interactions. These changes broaden optimization functionality, simplify bindings, and improve test/docs coverage, supporting broader adoption and more robust deployments.
August 2025
8 Commits • 3 Features
Aug 1, 2025In August 2025, delivered core optimization feature expansions and API improvements for Drake, enhanced IrisNP2 capabilities (sampling, naming, and compatibility), and strengthened Python bindings and parameterization. Fixed reliability issues in IrisNp2 logging and constraint-parameterization interactions. These changes broaden optimization functionality, simplify bindings, and improve test/docs coverage, supporting broader adoption and more robust deployments.
July 2025
7 Commits • 4 Features
Jul 1, 2025July 2025 Drake monthly summary focusing on business value and technical achievements. Highlights include four major feature enhancements across solver APIs and region analysis, improvements to testing and user guidance, and bounded execution control to support reliable automation. Key features delivered: - MathematicalProgram API enhancements: AddCost binding overload for Binding<Cost> and AddLinearEqualityConstraint overload to add multiple linear equality constraints via a vector of formulas; associated tests were added to ensure correctness. - IrisNp2 algorithm extensions: support user-specified constraints, growth along parameterized subspaces (including AutoDiffXd support), and handling of additional containment points in region computation; updates to IrisNp2 and IrisZo with tests. - CLP QP warning and guidance: added a warning when solving QP with CLP to communicate Drake’s lack of official QP support; tests demonstrate behavior on non-macOS platforms. - NLopt solver: MaxTime limitation to bound execution: introduced MaxTimeName option for NLoptSolver to set maximum execution time; updates to C++/Python bindings and tests. Major bugs fixed / safeguards: - Introduced operator-level warnings and guardrails to prevent unsupported configurations from silently failing, improving error visibility and developer guidance. - Added tests across features to reduce regressions and ensure cross-compatibility with both standard and AutoDiffXd workflows. Overall impact and accomplishments: - Increased flexibility and reliability for optimization workflows, enabling more expressive constraint definitions, safer solver usage, and bounded runtime for long-running experiments. - Strengthened cross-language bindings (C++/Python) with consistent APIs and tests, accelerating downstream adoption. Technologies/skills demonstrated: - C++ and Python bindings, template-based API extensions, AutoDiffXd integration, comprehensive test coverage, and regression testing. - Work pattern: feature-driven development, test-driven development, and robust validation across solver backends.
7 Commits • 4 Features
Jul 1, 2025July 2025 Drake monthly summary focusing on business value and technical achievements. Highlights include four major feature enhancements across solver APIs and region analysis, improvements to testing and user guidance, and bounded execution control to support reliable automation. Key features delivered: - MathematicalProgram API enhancements: AddCost binding overload for Binding<Cost> and AddLinearEqualityConstraint overload to add multiple linear equality constraints via a vector of formulas; associated tests were added to ensure correctness. - IrisNp2 algorithm extensions: support user-specified constraints, growth along parameterized subspaces (including AutoDiffXd support), and handling of additional containment points in region computation; updates to IrisNp2 and IrisZo with tests. - CLP QP warning and guidance: added a warning when solving QP with CLP to communicate Drake’s lack of official QP support; tests demonstrate behavior on non-macOS platforms. - NLopt solver: MaxTime limitation to bound execution: introduced MaxTimeName option for NLoptSolver to set maximum execution time; updates to C++/Python bindings and tests. Major bugs fixed / safeguards: - Introduced operator-level warnings and guardrails to prevent unsupported configurations from silently failing, improving error visibility and developer guidance. - Added tests across features to reduce regressions and ensure cross-compatibility with both standard and AutoDiffXd workflows. Overall impact and accomplishments: - Increased flexibility and reliability for optimization workflows, enabling more expressive constraint definitions, safer solver usage, and bounded runtime for long-running experiments. - Strengthened cross-language bindings (C++/Python) with consistent APIs and tests, accelerating downstream adoption. Technologies/skills demonstrated: - C++ and Python bindings, template-based API extensions, AutoDiffXd integration, comprehensive test coverage, and regression testing. - Work pattern: feature-driven development, test-driven development, and robust validation across solver backends.
July 2025
June 2025
10 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for RobotLocomotion/drake: Delivered core IrisNp2 enhancements (collision-free polytopes in configuration space, Python bindings, solver configurability, parallel sampling, and positive padding), boosted IrisZo performance with parallelization and removal of a bottleneck sampling step, added Python bindings for GlobalInverseKinematics with Polytope3D constraints and joint-limit checks, and refined documentation for GcsTrajectoryOptimization continuity constraints. These changes advance collision-aware planning, Python workflow integration, and trajectory continuity guidance, delivering tangible business value through faster planning cycles and richer API access.
June 2025
10 Commits • 4 Features
Jun 1, 2025June 2025 performance summary for RobotLocomotion/drake: Delivered core IrisNp2 enhancements (collision-free polytopes in configuration space, Python bindings, solver configurability, parallel sampling, and positive padding), boosted IrisZo performance with parallelization and removal of a bottleneck sampling step, added Python bindings for GlobalInverseKinematics with Polytope3D constraints and joint-limit checks, and refined documentation for GcsTrajectoryOptimization continuity constraints. These changes advance collision-aware planning, Python workflow integration, and trajectory continuity guidance, delivering tangible business value through faster planning cycles and richer API access.
May 2025
5 Commits • 3 Features
May 1, 2025May 2025 highlights Drake work across test scaffolding, optimization solvers, Python bindings, and robustness fixes. Delivered a new FourCornersBoxes containment test suite with UI scaffolding, enabling reusable containment point checks and broader test coverage for four-corners environments. Implemented the core ProjectedGradientDescentSolver with first-order optimization, backtracking line search, and support for custom gradient and projection functions. Added Python bindings and tests to use the solver from Python, widening accessibility for experimentation and integration. Resolved a critical InverseKinematics bug to prevent segmentation faults and improved IRIS robustness, with a shared options refactor for IRIS-ZO and IRIS-NP2 to streamline maintenance. These changes improved reliability, usability, and capability, reducing risk in optimization workflows and enabling faster, safer iteration for planning and control tasks.
5 Commits • 3 Features
May 1, 2025May 2025 highlights Drake work across test scaffolding, optimization solvers, Python bindings, and robustness fixes. Delivered a new FourCornersBoxes containment test suite with UI scaffolding, enabling reusable containment point checks and broader test coverage for four-corners environments. Implemented the core ProjectedGradientDescentSolver with first-order optimization, backtracking line search, and support for custom gradient and projection functions. Added Python bindings and tests to use the solver from Python, widening accessibility for experimentation and integration. Resolved a critical InverseKinematics bug to prevent segmentation faults and improved IRIS robustness, with a shared options refactor for IRIS-ZO and IRIS-NP2 to streamline maintenance. These changes improved reliability, usability, and capability, reducing risk in optimization workflows and enabling faster, safer iteration for planning and control tasks.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for RobotLocomotion/drake: Delivered substantial IrisZo testing framework enhancements, focusing on consolidation of diagram-building logic into a reusable base class and extending test fixtures to cover additional environments. Implemented fixtures for 1D joint limits, double pendulum, block-on-ground, and convex configuration-space environments, and refined double pendulum parameterization for robust rational forward kinematics. These changes broaden testing coverage, improve collision checking accuracy, and enable deeper configuration-space analysis across IrisZo environments, contributing to more reliable regression validation in motion planning scenarios. No major bug fixes were recorded for this repository this month. Technologies demonstrated include Python-based test infrastructure design, object-oriented fixtures, and configuration-space reasoning.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for RobotLocomotion/drake: Delivered substantial IrisZo testing framework enhancements, focusing on consolidation of diagram-building logic into a reusable base class and extending test fixtures to cover additional environments. Implemented fixtures for 1D joint limits, double pendulum, block-on-ground, and convex configuration-space environments, and refined double pendulum parameterization for robust rational forward kinematics. These changes broaden testing coverage, improve collision checking accuracy, and enable deeper configuration-space analysis across IrisZo environments, contributing to more reliable regression validation in motion planning scenarios. No major bug fixes were recorded for this repository this month. Technologies demonstrated include Python-based test infrastructure design, object-oriented fixtures, and configuration-space reasoning.
March 2025
4 Commits • 2 Features
Mar 1, 2025In 2025-03, Drake work focused on enhancing IrisZo parameterization and expanding IRIS-ZO capabilities, with a strong emphasis on usability, robustness, and constrained optimization workflows.
4 Commits • 2 Features
Mar 1, 2025In 2025-03, Drake work focused on enhancing IrisZo parameterization and expanding IRIS-ZO capabilities, with a strong emphasis on usability, robustness, and constrained optimization workflows.
March 2025
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for RobotLocomotion/drake highlighting feature delivery and algorithmic improvements that improve trajectory optimization fidelity and region growth flexibility, with attention to scalability and thread-safety.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for RobotLocomotion/drake highlighting feature delivery and algorithmic improvements that improve trajectory optimization fidelity and region growth flexibility, with attention to scalability and thread-safety.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: API usability and documentation focus in Drake. Delivered a targeted documentation update for AddExponentialConeConstraint in MathematicalProgram to explicitly indicate support for logarithm constraints, improving developer understanding and reducing misusage. The change is a documentation-only update in the RobotLocomotion/drake repository and is tracked under (#22449) with commit 4f53555dbbf582caca5846a11fe18b006738446a. This work enhances maintainability and accelerates adoption of advanced constraint workflows by downstream users.
1 Commits • 1 Features
Jan 1, 2025January 2025: API usability and documentation focus in Drake. Delivered a targeted documentation update for AddExponentialConeConstraint in MathematicalProgram to explicitly indicate support for logarithm constraints, improving developer understanding and reducing misusage. The change is a documentation-only update in the RobotLocomotion/drake repository and is tracked under (#22449) with commit 4f53555dbbf582caca5846a11fe18b006738446a. This work enhances maintainability and accelerates adoption of advanced constraint workflows by downstream users.
January 2025
December 2024
2 Commits • 2 Features
Dec 1, 2024December 2024 performance summary for RobotLocomotion/drake. Delivered two high-impact features in the Graph of Convex Sets (GCS) and TrajectoryOptimization components, delivering notable performance and flexibility gains. Key work included adding generic Binding support for edges in GcsTrajectoryOptimization (Binding<Cost> and Binding<Constraint>), expanding AddEdgeCost/AddEdgeConstraint overloads, updates to Python bindings, and unit tests; and parallelizing the Rounding stage in GCS (with thread-safety checks and refactoring to enable parallel execution) to achieve faster optimization. No explicit major bugs fixed were documented for this period. The work contributes to more flexible cost/constraint modeling, improved optimization throughput, and stronger test coverage. Technologies demonstrated include C++ generic bindings, multi-threading, Python bindings, unit testing, and performance-oriented refactoring, delivering business value through faster, more scalable optimization and easier extensibility.
December 2024
2 Commits • 2 Features
Dec 1, 2024December 2024 performance summary for RobotLocomotion/drake. Delivered two high-impact features in the Graph of Convex Sets (GCS) and TrajectoryOptimization components, delivering notable performance and flexibility gains. Key work included adding generic Binding support for edges in GcsTrajectoryOptimization (Binding<Cost> and Binding<Constraint>), expanding AddEdgeCost/AddEdgeConstraint overloads, updates to Python bindings, and unit tests; and parallelizing the Rounding stage in GCS (with thread-safety checks and refactoring to enable parallel execution) to achieve faster optimization. No explicit major bugs fixed were documented for this period. The work contributes to more flexible cost/constraint modeling, improved optimization throughput, and stronger test coverage. Technologies demonstrated include C++ generic bindings, multi-threading, Python bindings, unit testing, and performance-oriented refactoring, delivering business value through faster, more scalable optimization and easier extensibility.
November 2024
13 Commits • 3 Features
Nov 1, 2024November 2024 (RobotLocomotion/drake) delivered major performance and robustness improvements across convex-set operations, trajectory optimization, and parallel execution safety. The changes accelerate planning, improve numerical robustness with edge-case handling, and expand Python accessibility for advanced users, aligning with business goals of faster, more reliable planning pipelines and richer user-facing APIs.
13 Commits • 3 Features
Nov 1, 2024November 2024 (RobotLocomotion/drake) delivered major performance and robustness improvements across convex-set operations, trajectory optimization, and parallel execution safety. The changes accelerate planning, improve numerical robustness with edge-case handling, and expand Python accessibility for advanced users, aligning with business goals of faster, more reliable planning pipelines and richer user-facing APIs.
November 2024
October 2024
1 Commits
Oct 1, 2024October 2024 monthly summary focusing on Drake repository work. Key accomplishments include robust handling of preprocessing solver options in GraphOfConvexSets and refactoring preprocessing program solving logic to separate concerns, improving reliability and maintainability. These changes deliver business value by reducing misconfigurations and enhancing pipeline stability.
October 2024
1 Commits
Oct 1, 2024October 2024 monthly summary focusing on Drake repository work. Key accomplishments include robust handling of preprocessing solver options in GraphOfConvexSets and refactoring preprocessing program solving logic to separate concerns, improving reliability and maintainability. These changes deliver business value by reducing misconfigurations and enhancing pipeline stability.
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Quality Metrics
Correctness93.8%
Maintainability88.8%
Architecture90.0%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
BazelC++Python
Technical Skills
API DesignAlgorithm DevelopmentAlgorithm ImplementationAlgorithm OptimizationAutomatic DifferentiationBindingsBindings DevelopmentBug FixingC++C++ DevelopmentCI/CDCode OrganizationCode RenamingCollision DetectionComputational Geometry
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