
Jeremy Nimmer contributed deeply to the RobotLocomotion/drake repository, building and refining core simulation, solver, and build system components. He engineered robust features such as autodifferentiation enhancements, YAML and JSON data interchange, and advanced integrator tooling, while modernizing the Bazel-based build pipeline for stability and forward compatibility. Jeremy’s technical approach emphasized maintainability, with extensive code refactoring, deprecation cleanup, and automated linting using C++ and Python. His work addressed cross-platform reliability, improved numerical methods, and streamlined developer workflows. By integrating new APIs, upgrading dependencies, and strengthening CI/CD, Jeremy delivered scalable solutions that improved both user experience and long-term maintainability.
February 2026 performance and reliability improvements across Drake, central registry, and rules_cc. Highlights include delivering YAML-based data interchange for PiecewisePolynomial (with typed defaults and tests), deprecating obsolete components and Docker installation methods with clear upgrade guidance, introducing a JSON-based integrator statistics summary for easier consumption, upgrading the Bazel build system to 9.0.0, expanding unit tests for quaternion DOFs, and a documentation cleanup removing an unnecessary Doxygen page. Additionally, CI tooling and Eigen performance improvements were introduced at the registry level, and a GCC/compiler-detection robustness fix was implemented in rules_cc to correctly identify compilers when /usr/bin/cc is a symlink. These changes reduce maintenance burden, improve data interoperability, observability, build performance, and developer experience across multiple repos.
February 2026 performance and reliability improvements across Drake, central registry, and rules_cc. Highlights include delivering YAML-based data interchange for PiecewisePolynomial (with typed defaults and tests), deprecating obsolete components and Docker installation methods with clear upgrade guidance, introducing a JSON-based integrator statistics summary for easier consumption, upgrading the Bazel build system to 9.0.0, expanding unit tests for quaternion DOFs, and a documentation cleanup removing an unnecessary Doxygen page. Additionally, CI tooling and Eigen performance improvements were introduced at the registry level, and a GCC/compiler-detection robustness fix was implemented in rules_cc to correctly identify compilers when /usr/bin/cc is a symlink. These changes reduce maintenance burden, improve data interoperability, observability, build performance, and developer experience across multiple repos.
Summary for 2026-01: Focused on delivering production-ready features, improving build stability, and enhancing user-facing tooling and documentation in Drake. Major outcomes include solver enhancements for contact-rich dynamics, easier sharing of visualizations, and a more robust, GCC-15-aware build system. The work emphasizes business value by enabling more accurate simulations, faster onboarding for contributors, and smoother integration for external users. Key deliverables and impact: - ICF solver enhancements: PyDrake bindings for ICF parameters, new Python bindings, unit tests, and build integration; added ICFExternalSystemsLinearizer and support for external forces; groundwork for more accurate contact-rich simulations. Commits: 6f120a4b6fc87b3d3d4811584c6336ea536e69f0, d8c59e223d9ea6260646cdeb422ab33c86a34eff, 84ed28a67fe93b9938f373c1013e1bc8b809ca94. - Meshcat ZIP export feature: Packaging and downloadable ZIP for HTML/assets via Meshcat::StaticZip to simplify sharing and portability. Commit: 2455af4ed55882c92614302f2ce6cf134d1893cf. - CenicIntegrator for advanced contact-rich dynamics: Introduced a skeleton of CenicIntegrator with bindings and tests, enabling more accurate, error-controlled simulations. Commit: ddfdcccfcbbaf0e9f63b2b32b8f71dacba3869c0. - Documentation and community support improvements: Updated templates and guidance to improve contributor onboarding and issue reporting, including switching to GitHub Discussions and clarifying installation steps. Commits: d7d1d26bafd7460edaa6a635100ce86c549d6a83, 929647d8bd5916dd6a953dddb115ea9a1193ceea, 29754e63974fc41378740ba7d6c398128ddb170a, 2743384641d6cfa143b36f11293d7661d0655d62. - Build system stability and compiler compatibility: GCC-15 fixes across tests and code, C23 prototype adjustments, dependency updates (Bazel, Bazelisk, mypy-related changes), and cleanup to reduce build fragility. Commits include: a4c65da6798896d05a03c861604e223b764135df, a9bac94b451b98d4f80ac760c10a06e0213299ee, 513ec1ff1bb60e6b5634330de255e259e3d2228e, 6edcabd7542b558c8e6f5b749e4e3027ad4f6bda, 06bed8328182d5fcda418da67be2a0371d6988b3, 2014bedf1037e1b52cfd62e6a1439a9cc4b2af83, be50d6cbbfa22f79f8fa9e890e56f737eaac0b78, 8b048c4dfa5292be3aa618d23128f1ccb2628ff6, 87563bdfd8b2a810134b0457761db90f94f79f3d. - Platform support updates: Adjustments to disable Gurobi on Ubuntu arm64 and updates for Resolute support on Ubuntu 26.04, reflecting ongoing efforts to broaden platform reliability. Commits: 724b093905899b7cb1fa782a77cb5b41606461a4, b37fd4bbd8fe70766abed24e42613845fac345af.
Summary for 2026-01: Focused on delivering production-ready features, improving build stability, and enhancing user-facing tooling and documentation in Drake. Major outcomes include solver enhancements for contact-rich dynamics, easier sharing of visualizations, and a more robust, GCC-15-aware build system. The work emphasizes business value by enabling more accurate simulations, faster onboarding for contributors, and smoother integration for external users. Key deliverables and impact: - ICF solver enhancements: PyDrake bindings for ICF parameters, new Python bindings, unit tests, and build integration; added ICFExternalSystemsLinearizer and support for external forces; groundwork for more accurate contact-rich simulations. Commits: 6f120a4b6fc87b3d3d4811584c6336ea536e69f0, d8c59e223d9ea6260646cdeb422ab33c86a34eff, 84ed28a67fe93b9938f373c1013e1bc8b809ca94. - Meshcat ZIP export feature: Packaging and downloadable ZIP for HTML/assets via Meshcat::StaticZip to simplify sharing and portability. Commit: 2455af4ed55882c92614302f2ce6cf134d1893cf. - CenicIntegrator for advanced contact-rich dynamics: Introduced a skeleton of CenicIntegrator with bindings and tests, enabling more accurate, error-controlled simulations. Commit: ddfdcccfcbbaf0e9f63b2b32b8f71dacba3869c0. - Documentation and community support improvements: Updated templates and guidance to improve contributor onboarding and issue reporting, including switching to GitHub Discussions and clarifying installation steps. Commits: d7d1d26bafd7460edaa6a635100ce86c549d6a83, 929647d8bd5916dd6a953dddb115ea9a1193ceea, 29754e63974fc41378740ba7d6c398128ddb170a, 2743384641d6cfa143b36f11293d7661d0655d62. - Build system stability and compiler compatibility: GCC-15 fixes across tests and code, C23 prototype adjustments, dependency updates (Bazel, Bazelisk, mypy-related changes), and cleanup to reduce build fragility. Commits include: a4c65da6798896d05a03c861604e223b764135df, a9bac94b451b98d4f80ac760c10a06e0213299ee, 513ec1ff1bb60e6b5634330de255e259e3d2228e, 6edcabd7542b558c8e6f5b749e4e3027ad4f6bda, 06bed8328182d5fcda418da67be2a0371d6988b3, 2014bedf1037e1b52cfd62e6a1439a9cc4b2af83, be50d6cbbfa22f79f8fa9e890e56f737eaac0b78, 8b048c4dfa5292be3aa618d23128f1ccb2628ff6, 87563bdfd8b2a810134b0457761db90f94f79f3d. - Platform support updates: Adjustments to disable Gurobi on Ubuntu arm64 and updates for Resolute support on Ubuntu 26.04, reflecting ongoing efforts to broaden platform reliability. Commits: 724b093905899b7cb1fa782a77cb5b41606461a4, b37fd4bbd8fe70766abed24e42613845fac345af.
December 2025 monthly performance summary focusing on key features delivered, major bugs fixed, and cross-repo improvements across Drake and the grpc central registry. Highlights include autodiff core enhancements, partial-handling and storage refinements, test modernization, and build/tooling readiness enabling safer adoption of a new AutoDiff backend; plus cross-cutting maintenance in render/geometry/yaml modules and improved tooling access. These efforts deliver business value by improving numerical reliability, developer productivity, and maintainability at scale.
December 2025 monthly performance summary focusing on key features delivered, major bugs fixed, and cross-repo improvements across Drake and the grpc central registry. Highlights include autodiff core enhancements, partial-handling and storage refinements, test modernization, and build/tooling readiness enabling safer adoption of a new AutoDiff backend; plus cross-cutting maintenance in render/geometry/yaml modules and improved tooling access. These efforts deliver business value by improving numerical reliability, developer productivity, and maintainability at scale.
November 2025 performance summary: Across Drake, grpc/bazel-central-registry, and python/mypy, delivered concrete features and reliability improvements centered on Bazel 9 readiness, documentation quality, and AutoDiff coverage. Notable outcomes include cross-repo feature work in Drake (documentation, autodiff support, and geometry refresh), Bazel tooling readiness (#rules_cc, googletest patches, test/runtime tweaks), and ecosystem updates (Eigen 5.0.1, EigenPool, and Python typing tooling). The work reduces upgrade risk, stabilizes builds, and enables broader autodiff workflows, while demonstrating deep proficiency with Bazel tooling, C++ numeric libraries, and modern documentation practices. Key achievements (selected): - Multibody: Doxygen improvements and autodiff support implemented (commits: d6f4a21b57afc8764a36a8376d6a909b7bc1a9ce; dceb50d16ba1a500a43032a4358602e30501e686; fe8681cc087cf1938d35d3087aeb22690b4e6dba). - Bazel 9 readiness: Prep for Bazel 9 across tooling and workspace; updates to rules_cc, googletest PRs, and test/runtime tweaks (commits: f0c1aed490211037b3ad2a3ead59e65a8127e193; 2b76d8a95f1ab91f12a8fc2102746d522494a202; 98f354d60622756c516abb0557e46f9cbe99bd9d; 7ab47cde92926a544c330c1b0eb9bade738d9f73; 0a87c088134f86394cdb4a19700364f4676d57cc; 3d1c8de39d166129c20364e0267dbe270f064f4d; f8a91dff787960fa70593768603036e520ada139). - Geometry refresh: Pin meshcat.js into the CAS and switch to stats.js for browser updates (commits: 3af83ad665b42ff9f4234e450609c61be921db89; 5d1654151fa8ef70a1882e310ddc317512f69e59). - Eigen 5.0.1 and EigenPool: Update Eigen to v5.0.1 and add EigenPool with compatibility tests (commits: e7fe1c85ea6a05436c83fc6508cdf1edebdde514; 7ea71693497481e1d54839b1592fd0648d645d2d; 84445ea7c31bbf4512f0381da19a7a18ffddaea4). - AutoDiff and testing improvements: Port compute_numerical_gradient_test to AutoDiffXd and standardize AutoDiffXd usage in simulator tests, plus solver cleanup (commits: 601eaded1d33c44099f4caca8430a534c1a22d38; bb6cf20f31108930fb786531414cc86b6128ecbb; ef3722fadd3f090d89bab5c624b1811b89b19721; 3229f74b8c30259b9d5f6c497fcd10bb381fb41c). - Inverse kinematics safety: Context checker parallelism safety fix (commit: 844ea6eba7e2ee1498d2d3e0531b6d3961a9bb31).
November 2025 performance summary: Across Drake, grpc/bazel-central-registry, and python/mypy, delivered concrete features and reliability improvements centered on Bazel 9 readiness, documentation quality, and AutoDiff coverage. Notable outcomes include cross-repo feature work in Drake (documentation, autodiff support, and geometry refresh), Bazel tooling readiness (#rules_cc, googletest patches, test/runtime tweaks), and ecosystem updates (Eigen 5.0.1, EigenPool, and Python typing tooling). The work reduces upgrade risk, stabilizes builds, and enables broader autodiff workflows, while demonstrating deep proficiency with Bazel tooling, C++ numeric libraries, and modern documentation practices. Key achievements (selected): - Multibody: Doxygen improvements and autodiff support implemented (commits: d6f4a21b57afc8764a36a8376d6a909b7bc1a9ce; dceb50d16ba1a500a43032a4358602e30501e686; fe8681cc087cf1938d35d3087aeb22690b4e6dba). - Bazel 9 readiness: Prep for Bazel 9 across tooling and workspace; updates to rules_cc, googletest PRs, and test/runtime tweaks (commits: f0c1aed490211037b3ad2a3ead59e65a8127e193; 2b76d8a95f1ab91f12a8fc2102746d522494a202; 98f354d60622756c516abb0557e46f9cbe99bd9d; 7ab47cde92926a544c330c1b0eb9bade738d9f73; 0a87c088134f86394cdb4a19700364f4676d57cc; 3d1c8de39d166129c20364e0267dbe270f064f4d; f8a91dff787960fa70593768603036e520ada139). - Geometry refresh: Pin meshcat.js into the CAS and switch to stats.js for browser updates (commits: 3af83ad665b42ff9f4234e450609c61be921db89; 5d1654151fa8ef70a1882e310ddc317512f69e59). - Eigen 5.0.1 and EigenPool: Update Eigen to v5.0.1 and add EigenPool with compatibility tests (commits: e7fe1c85ea6a05436c83fc6508cdf1edebdde514; 7ea71693497481e1d54839b1592fd0648d645d2d; 84445ea7c31bbf4512f0381da19a7a18ffddaea4). - AutoDiff and testing improvements: Port compute_numerical_gradient_test to AutoDiffXd and standardize AutoDiffXd usage in simulator tests, plus solver cleanup (commits: 601eaded1d33c44099f4caca8430a534c1a22d38; bb6cf20f31108930fb786531414cc86b6128ecbb; ef3722fadd3f090d89bab5c624b1811b89b19721; 3229f74b8c30259b9d5f6c497fcd10bb381fb41c). - Inverse kinematics safety: Context checker parallelism safety fix (commit: 844ea6eba7e2ee1498d2d3e0531b6d3961a9bb31).
October 2025 Drake development focused on code quality, automated linting, tooling modernization, and build stability. Enabled Ruff by default with repository-wide formatting across major modules (tools, multibody, solvers, systems, examples, geometry, doc), delivering consistent style and reducing CI failures. Delivered targeted fixes and refactors to improve autodiff reliability, build performance, and ecosystem compatibility, while upgrading key tooling and dependencies to support long-term maintenance and developer velocity.
October 2025 Drake development focused on code quality, automated linting, tooling modernization, and build stability. Enabled Ruff by default with repository-wide formatting across major modules (tools, multibody, solvers, systems, examples, geometry, doc), delivering consistent style and reducing CI failures. Delivered targeted fixes and refactors to improve autodiff reliability, build performance, and ecosystem compatibility, while upgrading key tooling and dependencies to support long-term maintenance and developer velocity.
September 2025 monthly summary for Drake ecosystem and related tooling. This month focused on raising code quality, stabilizing the build and test infrastructure, and migrating to internal components to reduce risk and improve maintainability. Delivered measurable business value through lint/quality improvements, testing readiness, and architectural refinements that streamline future development and releases.
September 2025 monthly summary for Drake ecosystem and related tooling. This month focused on raising code quality, stabilizing the build and test infrastructure, and migrating to internal components to reduce risk and improve maintainability. Delivered measurable business value through lint/quality improvements, testing readiness, and architectural refinements that streamline future development and releases.
Month: 2025-08 — Drake repo: Delivered targeted features, reliability improvements, and release-readiness enhancements. Focused on business value with performance, build stability, and code quality gains while reducing technical debt.
Month: 2025-08 — Drake repo: Delivered targeted features, reliability improvements, and release-readiness enhancements. Focused on business value with performance, build stability, and code quality gains while reducing technical debt.
July 2025: Focused on business value through build-system modernization, compatibility enhancements, API cleanup, and documentation alignment. Key outcomes include Bazel upgrades, C++23 adoption, removal of legacy ManipulationStation bindings, internal API refinements, and Deepnote/noble release alignment with updated docs and fixed Jenkins links.
July 2025: Focused on business value through build-system modernization, compatibility enhancements, API cleanup, and documentation alignment. Key outcomes include Bazel upgrades, C++23 adoption, removal of legacy ManipulationStation bindings, internal API refinements, and Deepnote/noble release alignment with updated docs and fixed Jenkins links.
June 2025 (2025-06) focused on code modernization, stability, and documentation to support a cleaner, more maintainable Drake release. Major investments centered on removing deprecated APIs, modernizing memory layout usage, hardening the CI pipeline, and aligning release notes for smoother delivery.
June 2025 (2025-06) focused on code modernization, stability, and documentation to support a cleaner, more maintainable Drake release. Major investments centered on removing deprecated APIs, modernizing memory layout usage, hardening the CI pipeline, and aligning release notes for smoother delivery.
Month: 2025-05 — Drake project (RobotLocomotion/drake) focused on stabilizing the solver stack, expanding API compatibility, and improving toolchain hygiene. Implemented core solver enhancements and added DiagramBuilder Disconnect, while addressing reliability issues in glTF processing and maintenance tasks to reduce future risks.
Month: 2025-05 — Drake project (RobotLocomotion/drake) focused on stabilizing the solver stack, expanding API compatibility, and improving toolchain hygiene. Implemented core solver enhancements and added DiagramBuilder Disconnect, while addressing reliability issues in glTF processing and maintenance tasks to reduce future risks.
April 2025 monthly summary for Drake and grpc projects. Focused on removing maintenance burden, improving robustness, and accelerating release readiness across build, test, and packaging pipelines. Key outcomes include extensive deprecation cleanup, dynamic solver selection for mesh inflation, cross-platform test stabilization on Darwin, and tooling/packaging enhancements that align with newer Python and build environments.
April 2025 monthly summary for Drake and grpc projects. Focused on removing maintenance burden, improving robustness, and accelerating release readiness across build, test, and packaging pipelines. Key outcomes include extensive deprecation cleanup, dynamic solver selection for mesh inflation, cross-platform test stabilization on Darwin, and tooling/packaging enhancements that align with newer Python and build environments.
March 2025: Focused on stability, API health, and developer productivity. Delivered new bus-based data routing primitives, expanded Multibody and workspace capabilities, refreshed Python bindings for Drake, and strengthened CI/test reliability across modules. The work improves downstream integration, reduces CI flakiness, and enables more robust simulation and tooling pipelines.
March 2025: Focused on stability, API health, and developer productivity. Delivered new bus-based data routing primitives, expanded Multibody and workspace capabilities, refreshed Python bindings for Drake, and strengthened CI/test reliability across modules. The work improves downstream integration, reduces CI flakiness, and enables more robust simulation and tooling pipelines.
February 2025 (2025-02) delivered a focused set of reliability, usability, and tooling improvements across Drake and the Bazel Central Registry, driving higher stability, cross-platform compatibility, and faster time-to-value for users. The work emphasizes robustness in core planning and execution paths, improved configurability, and code quality that reduces maintenance burden. Key outcomes include: robust IK handling for diverse joint configurations, simplified and reliable UI control for multibody configurations, flexible data routing primitives for cleaner data flows, enhanced path resolution semantics for safer file-system interactions, and broad build-system/tooling enhancements that streamline builds and packaging across platforms.
February 2025 (2025-02) delivered a focused set of reliability, usability, and tooling improvements across Drake and the Bazel Central Registry, driving higher stability, cross-platform compatibility, and faster time-to-value for users. The work emphasizes robustness in core planning and execution paths, improved configurability, and code quality that reduces maintenance burden. Key outcomes include: robust IK handling for diverse joint configurations, simplified and reliable UI control for multibody configurations, flexible data routing primitives for cleaner data flows, enhanced path resolution semantics for safer file-system interactions, and broad build-system/tooling enhancements that streamline builds and packaging across platforms.
January 2025 monthly review focusing on delivering business value through API stability, build/tooling modernization, and reliability improvements across Drake, Gazebo, and related tooling. Highlights include core API refinements in Pydrake, broader build/workspace modernization, improved solver/back-end defaults, and targeted stability patches that reduce risk and maintenance overhead.
January 2025 monthly review focusing on delivering business value through API stability, build/tooling modernization, and reliability improvements across Drake, Gazebo, and related tooling. Highlights include core API refinements in Pydrake, broader build/workspace modernization, improved solver/back-end defaults, and targeted stability patches that reduce risk and maintenance overhead.
December 2024 focused on stability, modernization, and dependency hygiene across Drake, Bazel Rust tooling, and Bazel Central Registry. Delivered tooling reliability improvements, build-system modernization, solver enhancements, and cross-repo dependency upgrades to accelerate safe feature delivery and CI confidence.
December 2024 focused on stability, modernization, and dependency hygiene across Drake, Bazel Rust tooling, and Bazel Central Registry. Delivered tooling reliability improvements, build-system modernization, solver enhancements, and cross-repo dependency upgrades to accelerate safe feature delivery and CI confidence.
November 2024 (Month: 2024-11) delivered stability, platform parity, and developer-focused improvements across RobotLocomotion/drake. The work spanned solver robustness, schema evolution, Python bindings, and CI/build tooling, with a strong emphasis on business value: reliable solver runs, easier cross‑platform development, and faster feedback loops for contributors.
November 2024 (Month: 2024-11) delivered stability, platform parity, and developer-focused improvements across RobotLocomotion/drake. The work spanned solver robustness, schema evolution, Python bindings, and CI/build tooling, with a strong emphasis on business value: reliable solver runs, easier cross‑platform development, and faster feedback loops for contributors.
October 2024: Portability, dependency upgrades, and robustness improvements across Drake. Delivered EGL-based rendering default for headless environments, updated core dependencies, and strengthened code quality with safer casting and path handling fixes. These changes reduce CI fragility, improve maintainability, and enable broader deployment scenarios.
October 2024: Portability, dependency upgrades, and robustness improvements across Drake. Delivered EGL-based rendering default for headless environments, updated core dependencies, and strengthened code quality with safer casting and path handling fixes. These changes reduce CI fragility, improve maintainability, and enable broader deployment scenarios.

Overview of all repositories you've contributed to across your timeline