Validated physical-AI architectures — edge + manipulator cell, autonomous mobile robot, and VLA inspection cell. Each with a bill of materials, hardware options and indicative pricing. We tailor every one to your task.
These are starting points, not fixed products. Each blueprint pairs a model with the edge compute, sensors and actuator a task needs, with a bill of materials and indicative pricing you can plan around. We size every one to your environment and return a firm, tailored BOM — and because Haink builds the model and supplies the hardware, one partner owns the whole stack. Pricing is indicative, ex-works hub, and moves with robot and GPU allocation.
The workhorse cell: a camera-guided robotic arm running a perception-plus-control or VLA policy on an edge node. Handles varied or unfamiliar parts where a fixed program would fail. Add IGX for functional safety where people are near the cell.
| Component | Specification | Notes |
|---|---|---|
| Edge compute | NVIDIA Jetson AGX Orin (or AGX Thor for VLA) | Sized to model; Thor for large VLA |
| Perception | Industrial camera + depth sensor | Calibrated to the workspace |
| Actuator | 6-axis cobot + gripper | Collaborative arm with motion planning |
| Controller | Motion controller + safety I/O | Bounded autonomy, watchdogs |
| Software | Perception / control or VLA policy | Built and optimized by Haink |
~$40,000–$150,000 delivered cell incl. cobot arm, ex-works hub; arm alone is ~$25K–$60K in 2026
The compute and perception stack for an autonomous mobile robot: on-board navigation and obstacle avoidance that keep running when connectivity drops, with telemetry and OTA updates for a fleet. Supplied as the AMR’s intelligence layer, integrated to your chassis or a new build.
| Component | Specification | Notes |
|---|---|---|
| Edge compute | NVIDIA Jetson AGX Orin | Navigation + perception on-board |
| Perception | 2D/3D LiDAR + cameras | Mapping, localization, obstacle avoidance |
| Connectivity | Wi-Fi 6 / 5G | Telemetry and coordination |
| Fleet software | Monitoring + OTA updates | One robot or many |
| Software | Navigation + perception policy | Built and optimized by Haink |
~$15,000–$45,000 compute + perception + software per node, ex-works hub; excludes the mobile base
A high-end perception cell running a vision-language-action or reasoning vision-language model (such as NVIDIA Cosmos Reason) on Thor-class compute, fusing several cameras to detect defects and drive a reject or sorting actuator — for tasks too varied for a fixed vision program.
| Component | Specification | Notes |
|---|---|---|
| Edge compute | NVIDIA Jetson AGX Thor | 128 GB; runs VLA / reasoning VLM |
| Perception | Multi-camera array (+ depth) | Synchronized real-time fusion |
| Actuator | Reject / sort mechanism or arm | Acts on the model’s decision |
| Networking | High-bandwidth (RDMA where needed) | For multi-sensor streams |
| Software | VLA / reasoning VLM | Built and optimized by Haink |
~$50,000–$150,000 delivered cell, ex-works hub; Jetson AGX Thor devkit alone ~$3,499
The bench to build a deployment before metal moves: a GPU workstation for the digital twin and training, plus one edge node as the deployment target — so the model is validated in simulation, then transferred to the real machine. Pairs with digital twin and training.
| Component | Specification | Notes |
|---|---|---|
| Simulation / training | RTX 6000 Ada-class workstation | Twin + synthetic data + training |
| Deployment target | Jetson AGX Orin / Thor | Validate transfer on real hardware |
| Software | Omniverse / Isaac Sim + training pipeline | Built by Haink |
~$15,000–$30,000 ex-works hub; RTX 6000 Ada workstation ~$12K + edge node (Thor devkit ~$3,499)
Need hardware only? Browse robotics & physical-AI hardware → · Want it built end-to-end? See robotics deployment →
Each blueprint lists the compute, perception, actuation and software for one task pattern, with an indicative "from" price. They are sized to a typical case — your reach, payload, cycle time, sensor count and safety requirements move the BOM and the price. Send your task and we return a tailored bill of materials, firm pricing and compliant lead times, screened for export compliance per destination.
A validated blueprint for a robotics deployment — the edge compute, sensors, actuator and software for a specific task such as a pick-and-place cell, an autonomous mobile robot or a VLA inspection cell — with a bill of materials and indicative pricing you can budget from.
Indicatively, a delivered edge + manipulator cell runs ~$40,000–$150,000 (the cobot arm alone is ~$25K–$60K in 2026), an AMR compute-and-perception node ~$15,000–$45,000 (excluding the mobile base), and a VLA inspection cell ~$50,000–$150,000 — depending on the robot, sensors and compute chosen. See also our deployment cost guide.
Yes. Each blueprint is a starting point; Haink sizes the compute, sensors and actuator to the task and returns a tailored bill of materials with firm pricing and lead times, then builds the model and supplies the hardware.
Both. Haink builds and optimizes the perception, control or vision-language-action model and supplies the edge and robot hardware it runs on, as one accountable partner.
Send the task, environment and constraints — we return a tailored BOM, firm pricing and compliant lead times.