Humanoid robotics for manufacturing deployment
Vision-driven task understanding and adaptive motion control—bridging PoC to production rollout.
Why humanoids for factories
Even highly automated lines retain labor-intensive gaps. KHE targets variability, skilled-operator dependency, and safety/quality risks with a perception-to-policy pipeline.
Typical bottlenecks
- SKU/process changes that break fixed automation
- Manual steps requiring judgment and adaptation
- Quality rework from missed exceptions
- Safety constraints that reduce throughput
What we improve
- Higher stability under real-world variation
- Reduced reliance on individual craftsmanship
- Measured KPIs tied to process outcomes
- Deployment pathway from PoC to rollout
Solutions
Use-case driven PoCs with measurable KPIs and a clear integration plan.
Bin Picking & Kitting
Vision-based picking, sorting, and kit preparation under variation.
Assembly Assist
Screw/insert/press assists with exception detection and recovery.
Visual Inspection
Defect detection, classification, and downstream routing.
Palletizing / Depalletizing
Mixed loads handling with process-aware motion planning.
Material Handling
Transfer, buffering, and line-side delivery with safety constraints.
Process Monitoring
Perception layer that turns shop-floor reality into actionable data.
Platform
Perception → task understanding → adaptive motion → simulation-first validation → deployment monitoring.
Perception
Recognize parts, tools, jigs, and state changes from camera inputs.
Task Understanding
Classify process stages, detect exceptions, and trigger recovery.
Adaptive Motion
Constraint-aware control for paths, speed, and safety envelopes.
Simulation
Pre-validate collision, reachability, cycle time, and risk scenarios.
Integration
PLC/MES/WMS + safety sensors + robots/grippers + networks.
Ops Loop
Logs, replay, monitoring, and iterative improvement for rollout.
PoC Program
A structured pathway to validate one process quickly—then decide the next step with evidence.
| Objective | Validate feasibility and performance range for a single process with measurable KPIs. |
|---|---|
| Typical duration | 2–6 weeks (depends on process complexity and data readiness). |
| Customer provides | Process description, safety requirements, samples, access or recorded videos, and KPI agreement. |
| KHE delivers | PoC plan, demo scenario, performance report, integration proposal, and risk/requirements list. |
| Example KPIs | Success rate (%), cycle time (s), rework rate, safety events / stops. |
| Outputs | Demo video, test logs, improvement plan, and next-step roadmap for deployment. |
PoC scope levels (example)
- PoC-Lite: fit assessment + requirements + risk list
- PoC-Standard: test cell PoC + KPI measurement + integration outline
- Pilot: shop-floor integration + safety + operating procedures
Process selection checklist
- Clear input/output definition and measurable KPI
- Variation level that breaks fixed automation
- Safety constraints well-defined (zones/sensors)
- Data availability (videos, samples, timing)
Updates
Short, consistent updates build credibility. Aim for at least one post per month.
Contact
Share one process (task, safety, quality KPIs). We’ll respond with PoC fit and required inputs within 1–2 business days.
Quick info
Manufacturing-first humanoid deployment: perception, simulation, integration.
What to include
- Process name + step description
- KPIs: success rate, cycle time, quality impact
- Safety constraints: zones, sensors, interlocks
- Preferred timeline for PoC kickoff