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Plan a factory humanoid-robot pilot around one clearly bounded task, a documented baseline, and a task-specific safety and integration design—not around a robot demonstration. Define how the trial will be stopped, what evidence would justify continuing, and how its full costs will be compared with the current process and realistic automation alternatives.
What a factory pilot should prove
A pilot is a controlled way to find out whether a particular robot application can perform a particular task under agreed production conditions. It is not, by itself, proof that humanoid robots are generally production-ready, that the robot is safe in every factory setting, or that the application will pay for itself.
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Write the decision question before selecting equipment. For example: can a robot reliably transfer a specified range of parts from a defined presentation point to a fixture, at the required rate and quality, with acceptable interventions, safety controls, support burden, and cost? Set the scope, trial conditions, responsible decision-makers, and stop conditions around that question.
How to choose a suitable first task
Start with one operation, not a broad objective such as “automate the line.” Look for work that is repetitive, ergonomically difficult, or otherwise a credible automation candidate, while confirming that the task’s variability and operating conditions are manageable enough to evaluate.
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Describe the work precisely
- Input and output: Identify the incoming part or material, its presentation, the required destination, and what counts as a correctly completed task.
- Task demands: Document payload, reach, grasp or tool requirements, precision, cycle-time needs, part variation, and the range of expected orientations or conditions.
- Production context: Record takt or other cycle requirements, operating schedule, changeovers, upstream and downstream dependencies, and what happens when material is missing or out of specification.
- People and ergonomics: Describe who currently performs or supports the work, the physical demands, access routes, and foreseeable interactions with operators, maintenance staff, and other personnel.
- Boundaries: State what the pilot will not attempt. Exclude adjacent tasks unless they are separately assessed and approved.
Reject or redesign a pilot scope that cannot be described clearly enough to define safe operating conditions and measurable acceptance criteria.
What to measure before installation
Build a baseline for the existing process before equipment or workflow changes make comparison difficult. Record the measurement period, production mix, shift pattern, staffing assumptions, and conditions that affected output. Use the same definitions for baseline and pilot wherever possible.
| Baseline area | Record |
|---|---|
| Production | Cycle time and variability, operating hours, output, interruptions, and constraints imposed by adjacent processes. |
| Quality | Accepted output, defects or rework, and the method used to classify a completed task as correct. |
| Labor and support | Staffing, supervision, material handling, recovery work, and time spent responding to interruptions. |
| Reliability | Downtime, causes of stoppages, time to restore operation, and any manual workaround. |
| Safety and ergonomics | Relevant task hazards, exposure, ergonomic burden, and existing controls. Do not treat a pilot as a substitute for the site’s established assessment process. |
| Cost | Current operating and labor costs, quality losses, consumables, and any other cost categories that will be included in the business case. |
Separate observed data from estimates. If production conditions change during the pilot, document the change rather than treating the resulting figures as directly comparable.
How to assess humanoids against other options
A humanoid form is one possible way to perform work, not evidence that it is the best one. Compare the proposed application with suitable alternatives using the plant’s actual task requirements. Depending on the job, those alternatives may include a fixed industrial robot, a collaborative robot application, a mobile manipulator, purpose-built handling equipment, or process redesign.
| Decision area | Questions to compare |
|---|---|
| Task fit | Can the option meet the required dexterity, payload, reach, precision, cycle, and quality requirements across expected material variation? |
| Safety and access | What safeguards and operating boundaries are needed? How will people access the work area and recover from interruptions? |
| Production fit | Will the option fit the takt, footprint, facility layout, material flow, changeovers, and upstream or downstream interfaces? |
| Reliability and recovery | What availability evidence is relevant to this task? How often is human intervention expected, and how quickly can the process recover? |
| Integration and lifecycle | What engineering, controls, IT, installation, maintenance, training, support, and change-management work is required over the application’s life? |
| Workforce and data | What training and work-practice changes are needed? What data is collected, where is it handled, and who is responsible for cybersecurity and access? |
| Evidence and cost | Which claims are supported by evidence relevant to the plant and task? What are the capital, operating, and lifecycle costs, including integration and recovery? |
Do not assume that a humanoid will outperform conventional automation on flexibility, footprint, safety, availability, or cost. Require comparable evidence against the same task and production conditions.
How to plan safety for the complete application
Safety depends on the application, not merely on features attributed to the robot. Assess the robot together with its end-effector, workpiece, payload, cell layout, safeguards, controls and software, human workflow, and maintenance access. Consider intended use and foreseeable abnormal conditions.
As of 2026, the published editions are ISO 10218-1:2025, edition 3, addressing industrial robots as machines, and ISO 10218-2:2025, edition 2, addressing industrial robot applications and cells. Part 2 covers matters including design, integration, commissioning, operation, maintenance, decommissioning, disposal, and information for use. The 2025 series incorporates much of the former ISO/TS 15066 collaborative-application content into Part 2. The standards’ scope does not establish that a particular site or pilot is compliant.
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In particular, “collaborative” is not a blanket safety designation for a machine or task. Collaboration is a property of an application that must be developed, verified, and validated; risk depends on the application, robot, safety functions, installation, programming, use, and maintenance. Identify the legal and conformity framework applicable at the plant’s location and use qualified safety and integration professionals. Purchasing or consulting a standard does not by itself establish compliance.
Include the full operating lifecycle
- Setup and installation, including delivery, positioning, and access for construction or integration work.
- Commissioning, programming, adjustment, and functional testing.
- Normal production, material replenishment, changeovers, and human access.
- Faults, interruptions, line stops, recovery, and foreseeable abnormal conditions.
- Inspection, cleaning, maintenance, repair, and any work requiring access to the cell.
- Changes to the task, payload, end-effector, layout, software, safeguards, or operating procedures.
Resolve these safety questions before live trials
- Who owns the application risk assessment, design approvals, and authorization to start or resume operation?
- What are the safeguarded zones, access points, and conditions for entry? How are stopping and restart behavior controlled?
- What hazards arise from the tool, payload, part edges, gripping or dropping, robot motion, and material flow?
- How will people call for a stop, respond to an emergency, isolate energy, and recover the process after a fault?
- What training, signs, procedures, inspections, and change controls are required?
- What conditions immediately stop the trial, who has authority to stop it, and what review is required before restarting?
Document the answers and validate the actual installed application under its intended conditions. A vendor demonstration is not a substitute for site-specific assessment, commissioning, or acceptance.
How to organize integration across the plant
Assign owners before the robot arrives. A factory pilot involves process and facility interfaces as well as the robot itself; unresolved ownership can turn basic issues—such as material presentation, line stops, access, or recovery—into production and safety risks.
| Workstream | Owner or function to assign | Questions to settle |
|---|---|---|
| Task and process | Production or process engineering | What is the approved work sequence, task boundary, output definition, and effect on adjacent operations? |
| Safety and safeguards | Occupational safety and qualified machinery-safety or integration personnel | Who completes and approves the application assessment, safeguard design, validation, training, and restart rules? |
| Controls and interfaces | Controls engineering, production IT, and relevant system owners | How will the robot communicate with equipment and production systems? What network, access, data-handling, and cybersecurity requirements apply? |
| Material flow | Shop-floor logistics and line operations | How are parts presented, replenished, identified, and removed? What is the response to shortages, misfeeds, or rejected parts? |
| Maintenance and recovery | Maintenance, integrator, and vendor support leads | Who diagnoses faults, provides parts and service, restores operation, and handles escalation outside normal hours? |
| Production authorization | Plant operations and the designated safety authority | Who approves staged commissioning, live production conditions, changes, stop decisions, and restart? |
Agree in writing on interface responsibilities, documentation, line-stop conditions, access rules, recovery procedures, support coverage, and escalation contacts. Confirm that the robot’s software, controls, and data handling meet site requirements before connecting it to production systems.
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Approve a bounded task and baseline
Confirm the task definition, data collection plan, baseline period, production conditions, and named decision owners. Do not proceed if the plant cannot determine what successful task completion means or how the result will be compared.
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Screen the robot and alternatives
Compare viable approaches against the task, safety concept, production interfaces, support needs, and lifecycle cost. Select the humanoid only if the application merits testing; do not treat the form factor itself as the business case.
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Complete design and safety review
Define the complete application and its risk controls, operating procedures, integration interfaces, access and maintenance provisions, and acceptance criteria. Resolve ownership before commissioning.
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Commission away from production exposure
Progress from offline engineering or a mock-up to safeguarded functional testing. Verify safety functions, controls, task behavior, fault handling, access, and recovery before moving to supervised trials.
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Run supervised trials under agreed conditions
Use defined production conditions, trained personnel, documented acceptance measures, and explicit stop conditions. Record interventions, faults, changes, and deviations from the planned operating conditions.
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Review evidence and decide
Compare results with the baseline and pre-agreed thresholds. Choose among continuation, redesign, expansion to a separately assessed scope, or termination. Record assumptions and unresolved issues with the decision.
Set numeric acceptance thresholds locally before the trial; there is no universal cycle-time, availability, or intervention threshold that establishes a successful humanoid pilot across factories.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the BMW Spartanburg example does—and does not—show
BMW’s 2024 account described a several-week test at Plant Spartanburg in which Figure 02 placed sheet-metal parts into fixtures in the body shop. BMW’s 2026 account separately described a subsequent deployment in Spartanburg: the robot performed precise removal and positioning of sheet-metal parts for welding. Keep the earlier test distinct from the later reported deployment.
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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteFor the completed pilot, BMW reported that Figure 02 supported production of more than 30,000 X3 vehicles, moved more than 90,000 components, took approximately 1.2 million steps, and accumulated around 1,250 operating hours. BMW also described the operating schedule as ten-hour shifts, Monday through Friday. These are company-reported deployment outputs and operating details, not independently verified benchmarks or proof of savings, productivity improvement, or general applicability.
BMW says its early Figure 02 test phases involved production IT infrastructure, occupational safety, production process management, and shop-floor logistics from the outset. That account is a practical reminder that a plant pilot is a cross-functional integration project, not just a robot installation. It does not establish that the same design, safeguards, or results will transfer to another factory or task.
How to build a defensible ROI model
Do not infer payback from robot runtime, steps, or part counts. The BMW account does not publish the robot’s acquisition or lease price, integration and guarding costs, ongoing service and maintenance costs, baseline staffing cost, avoided-cost calculation, or a calculated return. The available case figures therefore cannot establish a financial result.
Count the full cost of the pilot and the operating application
- Robot purchase or lease, tooling, and end-effector costs.
- Application engineering, integration, safety assessment, safeguards, and controls work.
- Facility, production IT, network, and work-cell changes.
- Installation, commissioning, production downtime, and training.
- Supervision, maintenance, spare and replacement parts, software, support, energy, and recovery labor.
- One-time pilot engineering and learning costs, shown separately from projected steady-state costs.
Compare like with like
Compare the application’s total costs with the current process and realistic alternatives, including conventional automation or process redesign. Include relevant labor and operating costs, quality losses, throughput constraints, and any measurable change in support requirements. Treat potential safety or ergonomic benefits separately unless the plant has a defensible way to value them.
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What to monitor during the trial
| Measure | How to use it |
|---|---|
| Successful task completion and accepted output | Use a written definition of a correctly completed task and track quality alongside volume. |
| Cycle time and variability | Compare against the baseline under stated production conditions, including interruptions and changeovers. |
| Interventions and recovery time | Record why human help was needed, who responded, and how long the process took to recover. |
| Availability and downtime | Separate scheduled time from operating time and classify downtime causes consistently. |
| Safety events and near misses | Use the site’s reporting and escalation process; stop and review conditions according to the approved plan. |
| Maintenance and support burden | Track service work, parts, troubleshooting, vendor support, and effects on plant personnel. |
| Ergonomics and workforce impact | Evaluate changes to the task and work practices rather than assuming a benefit from task transfer alone. |
| Total cost | Capture pilot and recurring costs with assumptions and production denominators that permit comparison. |
Review measures at defined intervals and preserve enough detail to explain deviations. A single average can hide a high intervention burden, a shift-specific reliability problem, or performance that depends on unusually favorable conditions.
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