The Navigation Layer: Kompass Roadmap

Q1 2026 (Happening Now): Core Expansion

  • MORE GPGPU Kernels: Add optimized kernels for Visual Target Following controller, enabling ultra-low latency tracking of moving entities.

  • Extend Compute Architecture Support: Test and benchmark kernels on additional integrated GPUs (Adreno, Mali etc.) via the OpenCL target. See current benchmarks.

  • Reactive Station Keeping v2: Enhance “Intelligent Rest” controller with patterns that utilize social force models to stop in crowded human spaces (elevators, lobbies) with minimal movement.

Q2 & Q3 2026: Advanced Mission Scheduling and 3D Navigation

  • Advanced Navigation Scheduling: Support for Queued Navigation Points with integrated scheduling, allowing robots to manage complex multi-stop routes autonomously.

  • 3D Robot State: Extending the global robot state to include 3D pose, orientation, and kinematic constraints for complex hardware like humanoids.

  • GPU-Voxel Mapping: Transitioning to real-time 3D voxel grids for local mapping and dynamic obstacle avoidance in 3D unstructured environments.

  • Full 3D Navigation Extension: Extending all navigation components to handle ground mobile robots in 3D scenes, including native support for navigating height changes in terrain.

  • MORE Built-in Self-Healing for Navigation: Add additional automated recovery behaviors to handle common real-world failures such as localization drift, or temporary sensor blindness.

Q4 2026 and Onwards: HW Release & Automated Diagnostics

  • Tag Based Following: Add UWB based high fidelity tag following controller to Kompass and release a ready-to-deploy dual channel (AoA/PDoA) based robot anchor and moveable tag combo as open-source hardware. This feature will include simplified calibration and chained following.

  • Diagnostic Analytics: Aggregated data collection across deployed robots to identify performance bottlenecks in specific hardware-environment combinations.