March 2026 monthly summary highlighting cross-repo perception, planning, and testing improvements across viamrobotics/rdk and viamrobotics/api. Key features delivered include camera extrinsics support and improved projection handling in the rdK perception pipeline, refined multi-arm motion planning with better minRatio computation and cost thresholds, and a parallelized testing framework to reduce runtime. API surface now exposes camera extrinsics to align with updated perception capabilities. These efforts deliver concrete business value through more accurate sensing, more robust manipulation, faster feedback loops, and improved interoperability with external pose data.

February 2026 focused on delivering production-ready motion planning and execution capabilities for the viamrobotics/rdk repository. The month delivered core planning enhancements, real-time plan execution, enhanced visualization and debugging tools, and streamlined build and tooling support. The work improved obstacle-aware planning, reduced expensive recalculation of kinematics, and hardened execution in real-time workflows, delivering tangible business value in reliability, speed, and operability of robotic systems.

January 2026 monthly summary for viamrobotics/rdk focused on stability and reliability in PointCloud processing. A critical bug fix addressing a null pointer exception during PointCloudObject creation was implemented, guarding geometry appends to non-nil values. This improves server robustness and data integrity in PointCloud pipelines, reducing crash risk and operational incidents.

Concise monthly summary for 2025-12 (viamrobotics/rdk). Highlights key features delivered, major bugs fixed, overall impact, and technologies demonstrated.

November 2025 (viamrobotics/rdk) delivered a set of performance-oriented motion-planning and engineering improvements across IK seed handling, caching, and CBIRRT, plus architecture cleanup and reliability enhancements. Key outcomes include faster, more reliable inverse kinematics with diagnostics and smart seed usage; substantial caching of collision obstacles, poses, and geometries with early exit paths to reduce compute; smarter memory-aware cache behavior and seed generation that improves responsiveness on low-memory platforms; targeted CBIRRT improvements including constraintNear fixes and path planning optimizations that avoid expensive computations; and a focus on test reliability and maintainability through reliability improvements, utility cleanups, and baseplanning removal to reduce confusion. These changes collectively reduce planning latency, improve success rates, and lower resource consumption, enabling more robust autonomous operation in production pipelines.

October 2025 – viamrobotics/rdk: Delivered core motion planning and IK improvements with a focus on reliability, observability, and performance. Context propagation in motion planning and logging enhancements improved traceability; IK seeding accelerated via frame-kinematics caching with safeguards; plan metadata refactoring and type compatibility simplify maintenance; CBIRRT sampling improvements with broader planning performance gains; test stabilization and improved timeout handling reduced wasted compute.

In September 2025, the rdk development effort delivered a cohesive set of planning and quality improvements that enhance reliability, maintainability, and cross‑platform stability. Key refactors cleaned up arm and base planning responsibilities, enabling simpler future changes and clearer interfaces. Core motion planning was tightened with improved IK integration, constraint handling, and path processing, reducing complexity and improving solution robustness. IK/CBIRRT path planning received targeted enhancements and tests to validate behavior under edge cases. Windows-specific build/test workflow adjustments reduced false failures and improved CI reliability. Targeted bug fixes improved test acceptance semantics, command plan formatting, and point cloud handling, lowering risk in automated validation and production deployments.

August 2025 monthly summary focusing on key accomplishments. The primary deliverable this month was enabling more flexible trajectory planning in the Motion Service by introducing a new constraint type, PseudolinearConstraint, which allows a tolerance factor for deviations from straight-line paths to goals. This enhances safety and reliability in goal-reaching tasks and improves applicability across motion planning scenarios.

2025-07 Monthly Summary for viamrobotics/rdk: Delivered key features, fixed select bugs, and strengthened architecture and build reliability. The work focused on delivering business value through efficient data IO, modular planning pipelines, improved observability for debugging, and stable CI builds. Achievements include PCD Compression for Point Cloud Data IO, a major Motion Planning Architecture overhaul, configurable slow-plan logging for performance debugging, and quality/build hygiene improvements (typo fix and CGo build constraint).

June 2025 monthly summary for viamrobotics/rdk: Focused on optimizing Motion Planner performance to improve planning speed and resource predictability. Delivered configurable early stopping, capped solver threads, and preserved plan quality while reducing compute time. No major bugs fixed this month; ongoing stabilization activities accompany feature delivery. Business impact includes faster task completion, reduced compute costs, and more predictable performance under varying workloads. Key metrics/achievements include: early solution-based stopping activated after first viable plan; configurable via environment variable; default max solver threads set to 10; commits show incremental improvements with #5022, #5024, #5025; positive impact on throughput and consistency.

May 2025 monthly summary for viamrobotics/rdk: Delivered three focused improvements that enhance module configuration accuracy, runtime observability, and data handling. These changes drive deployment confidence, reduce debugging time, and improve maintainability across module environments and point cloud processing.

April 2025 monthly summary for viam-labs/motion-tools: Implemented a new DrawRobot-based data visualization feature integrated with the robot frame system to fetch and display the robot's current state and geometries. Refactored the color selection logic for geometries to be more dynamic and maintainable, enhancing visualization clarity and user experience. The work delivers a more complete, single-view robot state visualization and lays groundwork for easier experimentation and debugging.

March 2025: Delivered foundational tooling and CLI enhancements for viamrobotics/rdk, focusing on Go module tooling overhaul, CLI entry point, and template/resource management improvements that streamline build, deployment, and developer onboarding within the RDK framework.

November 2024 (2024-11) - viamrobotics/rdk: Implemented Discovery Error Reporting Enhancement to improve discovery reliability and debugging. The change stores the underlying cause and surfaces it in the error message, enabling faster triage of discovery failures. Linked to commit 7f5fd4c502b08d7c20977874f03ed436e0776cdb and issue #4546. Business value: reduces mean time to diagnose discovery errors, improves maintainability, and contributes to more robust device discovery.