March 2026 monthly summary for ihmc-open-robotics-software focuses on delivering high-impact features, reliability improvements, and enhanced analytics to drive business value through faster authoring, more resilient behaviors, and improved performance visibility. Key features delivered include removing Jetson mode from the behavior facilitator to simplify configurations; extensive behavior tree authoring and execution improvements (leaf-node duplication, door traversal enhancements, and a robust preview mode with crash fixes and naming consistency); and the introduction of post-execution behavior tracking plots for performance visualization. Additional work includes robust multi-format model loading for RDX assets to gracefully handle available formats; kinematics and motion planning enhancements (hand kinematics simulation and improved quick-footstep planning); and UX-driven action naming improvements to reduce operator confusion. Supporting work on logging, scene management, and JSON handling, including a new clear-scene action, further strengthens traceability and reliability. Critical reliability enhancements include a hotfix for behavior preview shutdown crashes and loader improvements for multiple asset types, contributing to overall system resilience and faster incident response.

February 2026: Focused on enhancing autonomy planning, operator UX, and system reliability for ihmc-open-robotics-software. Delivered substantial improvements to footstep planning, behavior trees, and scene management, while tightening ROS2 integration and reducing log noise. These changes deliver clearer operator insight, safer autonomous behavior, and faster maintenance.

January 2026: This month focused on strengthening perception, robot interaction, and developer UX in ihmc-open-robotics-software. Key deliveries include YOLO-based object detection enhancements (YOLO-only mode for Behavior Scene Objects and an updated model), neck action and cross-robot support for Ability hand interactables across Alex and H1 robots, door panel pose estimation integrated into the behavior tree scene, and SCS 2 logs plotting in RDX with a generic log loader. UI/UX improvements reduced operator cognitive load with overlay text statuses, persistent behavior-tree expansions, and enhanced scene controls (freeze-object action, improved close button). Maintenance work standardized interfaces, stabilized scene initialization, and made telemetry variables more configurable. These changes improve perception accuracy, broaden automation capabilities, and accelerate debugging and iteration, delivering tangible business value through more reliable autonomous behavior and faster development cycles.

December 2025 monthly summary for ihmc-open-robotics-software. Focused on delivering robust behavioral control, enhanced perception, improved robot configuration management, and VR/teleoperation UX, while stabilizing critical operations like mustard pickup. Highlights include a major overhaul of the Behavior System with FoundationPose integration and concurrency improvements, expanded hand action UI, and YoVariables for behavior-tree state tracking; a new perception model with augmented object detection for hands/doors and updated 3D assets; comprehensive inclusion of URDF joints in RobotConfigurationData; VR teleoperation UX refinements for visibility and pelvis lock; and a stability fix for mustard pickup. Key achievements: - Behavior System and Hand Action UI Enhancements (FoundationPose integration, improved execution logic, concurrency overhaul; UI updates for ability hand actions; YoVariables for behavior-tree state). Commits include 58ca855b6f696aec7d0e15e21e83bb3a05eed74a and related changes. - Added behavior tree YoVariables to controllers (#1134). Commit: 255d9880763d01d7125f8a3d3ca64b8dfbc307aa. - Perception and Object Detection Enhancements: new hands/door object model, YOLO annotation improvements, and .glb behavior object models to prevent crashes. Commits include 68a8cecfc3c1118be8298f0aa2fbc7d0c6d8aec0, 84c299c2c67ae6a3c6cb66bcd313952304bf287d, and 4616b7ea7b3ef02c666ce9bba2ddd5c550a0e5bb. - Robot Configuration and Joint Integration: include all URDF joints (hand joints) in RobotConfigurationData to improve configuration management. Commit: 510eab9c881cde68f637d5d069eddfe4715c4d3e. - VR Teleoperation UX Improvements: improved visibility rendering and pelvis lock option for VR interactions. Commits: 46ca42790068d02b85e01e024a7ee014c1ac76f7 and 8105404035dec3f1d312914054e560c1ad3465e7. - Mustard Pickup Stability Fix: stabilize mustard pickup operations by correcting trajectory calculations and success criteria handling. Commit: 0f2268905bebb3fd353419f57e018869dffad989. Major bugs fixed: - Behavior System: resolved edge-case in isNextForExecution calculation, out-of-bounds index issues, and related concurrency bugs that could impact execution flow during complex scene/action sequences. - Misc UI/interaction fixes surfaced during development of hand actions and drag-and-drop in scene actions. Overall impact and accomplishments: - Increased reliability and predictability of complex autonomous and teleoperation workflows, enabling faster, safer deployments and iteration cycles. - Improved developer productivity via more robust behavior tree state management, clearer hand action previews, and better debugging support. - Enhanced robot configuration visibility and consistency through comprehensive joint inclusion in RobotConfigurationData. - Superior VR teleoperation user experience with reduced visual clutter and improved control locking. Technologies/skills demonstrated: - ROS 2, Behavior Trees, YoVariables, FoundationPose integration - Perception: object detection models, YOLO, .glb assets - Robot configuration and URDF integration - VR teleoperation UX and UI improvements - Debugging, concurrency design, and crash prevention in complex robotic software

November 2025: This month focused on core messaging modernization, perception-driven capabilities, and dependency governance across ihmc-open-robotics-software and ihmc-alexander-sdk. Summary: Key features delivered include ROS Messaging Modernization (ROS1 to ROS2) removing ROS1 messages to streamline communication; YOLO-based Perception Integration in Behavior System with new actions for scene and ability hand interactions; RDX Ability Hand UI Enhancements; Object Detection Model Updates; and Dependency Version Synchronization updating ihmc_hands_ros2 to 0.1.2 and ihmc-alexander-sdk to 0.3.3. Major bugs fixed include: Avoid NPE in YOLO, fix YOLO panel behavior, and UI/edge-case fixes enabling more stable operation. Overall impact: Reduced maintenance burden, improved real-time perception-driven decision making, and smoother cross-repo collaboration; established foundation for future capability work. Technologies/skills demonstrated: ROS2 migration, perception integration, Behavior Tree, depth sensing, YOLO integration, UI refinement, model/version management, and multi-repo coordination.

Monthly summary for 2025-10: Delivered substantial modularization and enhancements across ROS 2 integration, startup workflows, OpenPi data exchange, and Behavior Tree tooling. The work focused on business value through easier deployment, safer operation, and faster iteration cycles by consolidating ROS 2 functionality into dedicated components, unifying startup controls, expanding real-time data exchange, and improving developer experience with Behavior Tree UI improvements and packaging. Overall, these changes reduce integration risk, shorten onboarding for operators, and enable more robust experimentation with OpenPi and VLA setups.

September 2025 monthly summary for ihmc-open-robotics-software: Key architecture improvements, feature deliveries, and codebase cleanup that reduce maintenance burden, improve data fidelity, and accelerate experimentation. Highlights include migration to Kotlin Gradle scripts, VR demo controls, enhanced dataset workflows, and comprehensive dependency cleanups across graphics, ROS, and networking. Notable bug fixes improved robustness of 3D input handling and pause logic.

August 2025 monthly performance summary for ihmc-open-robotics-software focused on enhancing operator control fidelity, perception reliability, and visualization UX. Key work delivered across teleoperation, perception, and visualization received with a strong emphasis on business value and safer robot operation.

July 2025 performance summary focused on delivering automation for artifact publishing, enhancing demonstration data collection through VR controls and Center of Mass (CoM) offset configuration, and improving time synchronization to nanosecond precision across the Open Robotics stack. These efforts improved build reliability, data quality, and system-wide timing accuracy, enabling more robust experiments, cleaner data pipelines, and better reproducibility.

June 2025 monthly summary for ihmc-open-robotics-software: Delivered a set of high-impact features across visualization, perception, data pipelines, and maintenance, with a focus on enabling richer perception debugging, flexible control pipelines, and streamlined asset and sensor integration. Major work spanned visualization enhancements, IK streaming improvements, dataset generation tooling, modern asset support, and migration/standardization to reduce maintenance overhead.

May 2025: Delivered key UX and robustness improvements for VR IK streaming and log access in ihmc-open-robotics-software. Implemented VR control/visual refinements with new control modes and IK previews, added dynamic teleporter enable/disable in WHOLE_BODY_IK_STREAMING, and introduced clickable log directory navigation for rapid log access. No major bug fixes documented in this period. Overall impact: smoother VR user experience, faster issue triage, and improved operator efficiency. Technologies/skills demonstrated include VR development, IK streaming, UI/UX refinements, cross-repo coordination, and commit-driven development.

April 2025 monthly summary for ihmc-open-robotics-software focusing on reliability, safety, and developer tooling across the main repository. Key efforts centered on hardening footstep planning, enhancing operator interfaces, stabilizing CI/deployment pipelines, and improving code organization to accelerate iteration and reduce operational risk. The work delivered tangible business value by increasing planning robustness in edge cases, enabling safer VR interactions, ensuring consistent simulation and CI behavior, and providing streamlined Docker/NVIDIA deployment workflows.

March 2025 monthly summary for ihmc-open-robotics-software: Focused on visual reliability at startup and enabling AI-driven decision-making in robot behaviors. Delivered a startup font size display fix and introduced an LLM Condition Node Type in the Behavior Tree, with supporting refactors to existing condition logic and groundwork for prompt management, context injection, and model execution.

February 2025 focused on delivering robust behavior tree capabilities, stabilizing core systems, and enabling direct hardware control via ROS 2 integration. The work reduces maintenance burden, accelerates feature delivery, and improves visibility for publication-ready outputs. Key outcomes include feature expansions to Behavior Tree, strategic codebase cleanup, and Nadia ROS 2 messaging/UI enhancements, with notable stability fixes that prevent crashes and synchronization issues.

January 2025 (2025-01) focused on delivering critical features for Behavior Tree tooling, strengthening multi-client collaboration, and improving runtime stability. The work emphasizes business value through improved user experience, reliable synchronization, and robust rendering/debugging capabilities across the ihmc-open-robotics-software stack.

December 2024 monthly summary for ihmc-open-robotics-software (Month: 2024-12). The past month focused on stabilizing core robotics behaviors, improving modularity, and strengthening test coverage across the behavior tree and scene-graph tooling. Delivered multiple refactors to reduce dependency footprint, robust data loading/saving for behavior trees, and targeted performance and reliability improvements that directly enhance operational safety, runtime stability, and developer velocity in perception-integrated workflows.

November 2024 highlights for ihmc-open-robotics-software focused on modernization, reliability, and developer productivity across build systems, visualization, Behavior Tree (BT) tooling, and containerization. The team delivered multiple large-scale refactors and stability fixes that reduce maintenance burden, improve runtime reliability, and accelerate development workflows.