We bought robots and they are barely used. Can you help?

That is a common pattern and usually an integration and software gap: brittle scripts, perception that cannot handle real part variation, or no tooling for operators. We start with a short cell study to find where the process actually breaks, then rebuild the weak layer instead of replacing your hardware.

Are humanoid robots practical yet?

For narrow, supervised tasks with a person nearby, pilots are increasingly viable. For unattended general-purpose work, they are not. We help teams run honest pilots: pick one task, instrument it, collect demonstration data, and measure whether the policy is reliable enough to expand.

Do you build the hardware as well?

No. We are a software partner and work alongside your integrator or OEM. That includes sensor and compute selection, calibration procedures, and the interfaces between the robot and the rest of your plant.

How do you handle safety and compliance?

Certification is a system responsibility shared with your integrator and safety assessor. We design software that supports that process: defined safety zones and stop paths, deterministic fallbacks, versioned configuration, and audit logs a reviewer can actually read.

Will this integrate with our existing WMS or MES?

Yes, and integration is usually what decides the return. We use standard interfaces such as OPC UA and VDA 5050 where they fit and build clean adapters where they do not, so orchestration lives in one place rather than in spreadsheets.

Robotics & Humanoid Systems

We build the intelligence and operations layer for physical automation: 3D perception and pose estimation, motion and task planning, fleet orchestration, and the operator consoles your team lives in. From cobot cells and bin picking to AMR fleets and humanoid pilots, we take robots from a promising demo to supervised production work.

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The robot is rarely the problem. The software around it is

Hardware vendors ship capable platforms. What decides whether a cell holds cycle time, or an idle arm gathers dust, is perception tuned to your parts, planning that respects your constraints, and tooling your operators can actually use.

We build that layer for industrial arms, autonomous mobile fleets, and humanoid pilots: 3D vision, motion and task planning, fleet orchestration, and the consoles and telemetry that turn a promising demo into supervised production work.

Sim-first

Behavior validated in simulation before hardware time

Edge-native

Onboard inference on Jetson-class compute

ROS 2

Standards-based integration, not one-off scripts

Safety-aware

Built to support your ISO 10218 / TS 15066 review

What's included

Perception, autonomy, and operations software for industrial arms, mobile fleets, and humanoid platforms.

3D perception, pose estimation & sensor fusion

Motion planning, control & ROS 2 system design

Humanoid manipulation policies & teleoperation

AMR / AGV fleet orchestration & traffic control

Simulation, digital twins & sim-to-real pipelines

PLC, OPC UA, MES & WMS integration

Every reliable robot closes the same four-step loop

We engineer each stage against your parts, floor, and cycle times, then instrument it so failures are diagnosable instead of mysterious.

Sense

Camera, depth, LiDAR, force, and IMU streams fused with calibration and timing you can trust, because bad extrinsics quietly break everything downstream.

Understand

Detection, segmentation, 6-DoF pose, and SLAM tuned for your geometry, lighting, and reflective surfaces, scored on datasets captured from your own floor.

Plan

Collision-aware motion and task planning where safety zones, cycle-time targets, battery, and traffic rules are explicit constraints rather than hopeful assumptions.

Act & learn

Real-time control with teleoperation fallback, plus telemetry that feeds the next model version and closes the gap between fleet reality and engineering.

Industrial cells, mobile fleets, and humanoid pilots

Three form factors, one software discipline. Most clients start with a single cell or route and expand once the numbers hold.

Humanoid platforms

Supervised pilots, teleoperation rigs, and learned manipulation on general-purpose bodies.

Industrial arms

Bin picking, 3D-guided placement, and cell integration with your PLC and MES.

Mobile robots & fleets

Navigation, traffic control, charging, and mission scheduling across a site.

Industrial robot cells

Six-axis arms doing real work: bin picking from unstructured totes, 3D-guided placement, and handoffs that survive part variation and shift changes.

Bin picking and 3D-guided pick-and-place
Palletizing, dispensing and welding support
PLC, OPC UA and MES integration

Humanoid & manipulation pilots

Structured pilots for general-purpose platforms: data collection rigs, learned manipulation policies, and task orchestration with a human in the loop.

Vision-language-action policy integration
Teleoperation and demonstration capture
Whole-body task sequencing and safety envelopes

Autonomous mobile fleets

AMRs and AGVs coordinated as a fleet rather than a crowd, with traffic control, mission scheduling, and charging that hold up during peak.

Fleet manager and traffic control
VDA 5050 and WMS integration
Charging and mission scheduling

Machine vision & inspection

Defect detection at line speed with operator review built in, so quality decisions are traceable and models improve from real rejects.

Defect detection at line speed
Operator review and audit trails
Golden-sample retraining loops

Simulation & digital twins

Virtual cells and routes where policies, layouts, and edge cases get tested cheaply, so hardware time confirms behavior instead of discovering it.

Isaac Sim and Gazebo environments
Synthetic data generation
Hardware-in-the-loop testing

Fleet operations & remote support

The day-two layer: telemetry, alerting, safe over-the-air updates, and remote diagnostics so a stuck robot does not require a site visit.

Telemetry, alerting and uptime KPIs
OTA updates with rollback
Remote diagnostics and teleassist

From cell study to a fleet you can scale

Robotics punishes optimism, so each stage is designed to surface bad news early and cheaply.

Stage 01

1–2 weeks

Cell & feasibility study

We measure the real environment: parts, tolerances, cycle times, layout, and safety constraints, then confirm whether the task is a software problem, a hardware problem, or both.

Task and tolerance analysis
Sensor and compute plan
Inputs for your safety review

Stage 02

3–5 weeks

Simulation & policy build

Environments, synthetic data, and planning or learned policies validated in simulation, including the edge cases nobody wants to stage on a live line.

Simulated cell or route model
Perception and planning modules
Cycle-time projections

Stage 03

4–8 weeks

On-hardware integration

Calibration, real-time tuning, PLC and fleet integration, and failure-mode drills on your floor with your operators in the loop from day one.

Integrated ROS 2 system
Operator console, first release
Failure-mode test report

Stage 04

Ongoing

Supervised production & scale

Staged handover with telemetry, safe update paths, and a concrete plan for going from one cell or robot to a multi-site fleet.

Telemetry and KPI dashboards
OTA and rollback pipeline
Scale-out and training plan

Outcomes we optimize for

Robots that hold cycle time outside demo conditions

Operators who can diagnose and recover without calling engineering

Fewer hardware surprises, because behavior is proven in simulation first

A documented, testable software stack you own end to end

What we build it with

The tools we reach for on Robotics work, picked for the problem in front of us and for the team who inherits the code.

Core runtime

Real-time control and messaging

ROS 2
C++
Python
Rust

Perception and learning

Making sense of a cluttered world

OpenCV
Open3D
PyTorch
NVIDIA

Simulation

A million runs before a single one on hardware

Unity
Blender
Docker

Fleet and edge

Operating machines you cannot reach by hand

MQTT
gRPC
Kubernetes
Grafana

Questions we get in the first call

That is a common pattern and usually an integration and software gap: brittle scripts, perception that cannot handle real part variation, or no tooling for operators. We start with a short cell study to find where the process actually breaks, then rebuild the weak layer instead of replacing your hardware.

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Let's build something that lasts

Tell us about your project and we'll get back to you within 12 hours with next steps.

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