ROS & ROS 2
Deep proficiency with the Robot Operating System ecosystem — package authoring, lifecycle nodes, DDS tuning, and the unglamorous debugging that keeps a fleet running.
Section 2 · Specialized Capabilities
Cutting-edge technical fluency, where robotics meets AI.
Successful humanoid deployment lives at the intersection of three disciplines: classical robotics, modern AI, and human-factors design. Our team is fluent in all three, and that fluency is what turns a manufacturer’s demo into a working installation.
Applied AI & LLMs
Vision-language models, behavior policies, and agentic orchestration — used to upgrade off-the-shelf platforms with task-specific reasoning the manufacturer didn’t ship.
Human-Robot Interaction
We program robots that read human intent — gaze, gesture, proximity — and respond in ways that feel natural. Acceptance is engineered, not assumed.
Simulation & Digital Twins
Gazebo, Isaac Sim, and custom physics worlds — every install is rehearsed in simulation first. Edge cases get solved on a workstation, not a customer site.
Path & Motion Planning
Decades of academic and applied experience with path planning algorithms — from sampling-based RRT variants to learned motion policies and whole-body control.
Production ML Pipelines
Computer vision and ML systems shipped at industrial scale — including deployments with 100% measured precision and zero false positives in regulated workflows.
Tooling we live in
The stack behind every install.
The technologies below are not a wishlist — they are the day-to-day toolset our engineers reach for when a problem lands on the bench.
ROS 2
Humble & Jazzy
Isaac Sim
NVIDIA Omniverse
Gazebo
Classic & Ignition
MoveIt 2
Motion planning
PyTorch
Vision & policies
FastAPI
Telemetry backends
Docker / K8s
Fleet orchestration
Claude / Gemini
Agentic copilots