See It Live at CIIF 2026 — Shanghai, October 12–16
This October, RobustMotion makes its largest-ever appearance at the China International Industry Fair (CIIF) — the country’s oldest national-level industrial exhibition: 280,000 m², nine specialized shows, 2,600+ exhibitors, 200,000+ professional visitors. Find us in the Industrial Automation Show (IAS) — theme: “Intelligent Industry, Boundless Quality” — at Hall 7.1, Booth F008.
All week at the booth:
- Live demo — Precision force control: a SoftForce® actuator performs precision placement and hold operations with the force-position curve projected in real time — ±0.01N, zero overshoot, every cycle recorded.
- Application engineers on-site: bring your process parameters; our engineers will map them against the force-control matrix on-site.
Confirm your preferred slot → Visitor pre-registration (free) →
Kindly confirm your preferred meeting slot by September 28.
The variable you never actually controlled
Walk any assembly line and ask a simple question: how is contact force set at your most force-sensitive station? The honest answers are usually spring packs, air regulators, or motor current limits converted to force by assumption. Each of these works — in the sense that parts get made. None of them is control. They are force intent, executed open-loop, verified only by downstream pass/fail test.
For decades that was a reasonable trade. When tolerances were wide and volumes were stable, a force scatter of several percent cost a few points of yield, absorbed as rework. What has changed is the combination: miniaturization keeps shrinking force budgets — thinner die, fragile optical surfaces, sub-millimeter snap features — while volumes and mix keep climbing. The scatter that was survivable at pilot scale becomes a permanent tax on yield, paid every shift.
Process and quality teams report the same signature across industries: units built from the same batch, same machine, same recipe, passing every electrical test — and still showing measurable performance scatter. When engineers trace it back, the trail ends at contact force at specific moments in the process.
Three architectures, three outcomes
The force-control world sorts into three architectures, and their limits are physical, not marketing:
| Parameter | Current-loop | External sensor + generic controller | Closed-loop at the actuator (SoftForce®) |
|---|---|---|---|
| Force accuracy | ±5–15% (estimated, open-loop) | ~1% | ±0.01N (≈0.1%) |
| Loop frequency | none | ~100 Hz | 10,000 Hz |
| Touch-down overshoot | uncontrolled | common | zero |
| 5,000-cycle force spread | ±13N | not published | ±0.1N |
The middle column is where most “precision” attempts land: a load cell bolted on, a generic motion controller closing the loop. It genuinely measures force — about a hundred times per second. But at 100 Hz, the loop sees contact events after they have already happened. The controller overshoots, then corrects; on fragile parts, the overshoot itself is the defect. And because bandwidth is spent surviving the contact, speed gets sacrificed to protect stability.
The third architecture closes the loop at the actuator itself, at 10,000 Hz, with force and velocity decoupled: the controller commands force while managing the approach dynamics independently. In practice this means soft landing, force lock within the contact event, and immediate release — speed and stability stop being a trade. In a documented automotive electronics application, replacing a 100 Hz servo press with a 10,000 Hz closed-loop system cut a 6-second cycle to 1.5 seconds: four times the throughput, zero overshoot. Over 5,000 repetitive cycles, force spread stays within ±0.1N — the difference between a process you monitor and a process you can certify.
The architecture is not new. Closed-loop force control entered series production in 2019, reached 10,000 Hz in 2021, and now anchors a published team standard (T/GDRA 013-2024) — with more than five hundred production applications behind it. That maturity matters: what the semiconductor and medical adoption below inherits is a decade of field data, not a promise. For the architectural why behind these numbers, see Closed-Loop Force Control Explained.
Where the money hides: three industries, one physics
The specifics differ — a photonics die, a cannula, a sensor PIN — but the failure physics is shared. Here is what it looks like where the stakes are highest.
1 · Semiconductor back-end: force budgets shrink every generation
Advanced packaging is making assembly look more like micro-manufacturing every year. Die get thinner, interposers get finer, optical elements ride directly on packaged silicon — and every one of those trends removes slack from the force budget.
Consider the moments that decide a package’s fate:
- Die attach — the thermal interface is a force product: force before cure sets bondline thickness and thermal contact. Excess force squeezes adhesive out and seeds micro-cracks that surface as field failures months later. Insufficient force leaves voids and degraded heat dissipation. On 0.1mm-class die, a ±10% force variation is invisible at final test — and visible in the field failure queue.
- Carrier transport between die bond and wire bond — every vibration is a force event. Mechanical shock transmitted through the carrier reaches freshly bonded die as uncontrolled force spikes. A bond that survived placement can be quietly damaged in transit — the intermittent failure nobody can reproduce on the bench, because nobody controlled the force that caused it.
- Optics attach and cure hold — where photonics meet packaging, coupling optics are tacked with UV adhesive and then held through cure. Force variation during attach changes bondline and optical axis; drift during the cure hold lets a perfectly aligned element settle out of alignment in the oven. In mature lines, placement-force scatter is the dominant residual of coupling-efficiency variation — the reason two “identical” parts bin differently.
2 · Medical devices: different volumes, categorically different failure costs
Medical device assembly rarely runs automotive volumes. What it has instead is the least forgiving failure economics in manufacturing: a field failure is a CAPA, an investigation, potentially a recall. And it has a regulatory structure — ISO 13485, FDA’s Quality System Regulation — that asks a question assembly lines in other industries can usually avoid: prove that this process parameter was controlled, on this unit, on this day.
A contact force set by a regulator knob is hard to defend in that world. A 10,000 Hz closed loop with a recorded force-position curve for every operation is not just control — it is evidence. Each unit’s force trace becomes part of its device history, and drift in the curve population flags process shift before it ships nonconforming product. Validation teams get parameter capability data (that ±0.1N spread over 5,000 cycles) instead of assumptions.
The device applications are exactly where fragile meets force-sensitive:
- Needle and cannula assembly — insertion and seating forces small enough that a few percent of scatter distinguishes a good bond from a bent cannula.
- Catheter tip forming and bonding — hold-force stability through adhesive cure decides concentricity and lumen integrity.
- Diagnostic cartridges and lab-on-chip lamination — multi-layer bonding where bondline uniformity is the product specification.
- Wearable sensor and monitor assembly — thin, flexible, adhesive-bonded stacks that punish both over- and under-force.
- Precision hot-bar and press operations — the same control class as the 45N ±0.5N, 90-second hold documented in electronics HotBar welding: hold-force drift during cure is alignment drift, and alignment drift is an out-of-spec device.
In every one of these, the pattern is identical: the force window is narrow, the failure is latent, and the evidence requirement is absolute.
3 · The baseline: automotive electronics and 3C
The industries above are where the stakes are newest, but the evidence base is oldest in automotive electronics and consumer electronics — five hundred-plus production applications of closed-loop force control, many of them unglamorous and all of them measured. Pressure-sensor PIN press-fit in the 300–700N class, run on force-displacement curve acceptance. Connector and terminal insertion stabilized from 90–95% first-pass yield to above 99.5%. FPC pre-form and hold. These are the applications that paid for the architecture’s maturity — the semiconductor and medical adoption now inherits that field record.
Every force curve is a quality record
A 10,000 Hz closed loop produces a high-resolution force-position-time trace for every operation — every die, every weld, every cure hold. That trace closes two loops that have historically stayed open. Forward: process engineers watch curve signatures drift and intercept trends before scrap, turning SPC from sampled to per-unit. Backward: when a customer returns a failed assembly, its force curve answers the question no amount of electrical retesting can — was this unit assembled right? In regulated industries, that record is not a bonus feature; it is the difference between a defensible process and an assumed one.
What the precision is worth
The economics compound at volume. A line running precision insertion at 95% first-pass yield and a line at 99.5% differ by 4.5 points of rework and scrap on every unit shipped; at tens of millions of units, that gap is measured in seven figures annually. On the throughput side, the documented 6s-to-1.5s cycle improvement means the same station does four times the work — or the same output frees three stations of capital. Set against most component-cost-reduction programs, force-control precision is unusually cheap ROI: it monetizes yield and capacity that the line already physically contains.
Audit your own line in five questions
- At your most force-sensitive station, what physically sets contact force — and when was it last verified against a reference?
- Pull the last thirty units from that station. Does per-unit force data exist at all? What is the spread?
- Which operations hold force over time — cure holds, weld holds, press dwells — and what limits drift during the hold?
- When scrap traces back to force, how quickly can you isolate the station, the shift, and the units — from records, or by re-running experiments?
- If a customer returned a failed unit today, could you prove how it was assembled — or only that it passed final test?
Most plants know the answers before they finish the list. That recognition is usually where the engineering conversation starts.
Specifying closed-loop force control: five questions for any supplier
The other side of the audit applies to the equipment itself. Whatever brand you evaluate, these questions separate architectures from brochures:
- Is force measured or inferred? Current-based “force control” estimates force from motor load — an open-loop inference with ±5–15% reality. Ask where the sensor lives and what it actually measures.
- What is the end-to-end loop frequency — sensor through algorithm to command, under load, not the sensor’s datasheet rating alone? The gap between 100 Hz and 10,000 Hz is the gap between reacting to a contact event and controlling it.
- What is the documented force spread over thousands of cycles? A best-run peak figure describes the lab; a 5,000-cycle distribution describes your line. Ask for the distribution.
- What happens to force during motion — approach, touch-down, retraction? Force-velocity coupling is where overshoot is born; decoupled control is what makes speed and precision non-exclusive.
- Does every cycle produce a stored, exportable force-position record — per unit, timestamped, retrievable for audits and failure analysis a year later?
FAQ
Q1: What force accuracy do precision assembly steps actually require?
Force-sensitive operations — die attach, optics and sensor placement, press and weld holds — typically operate in a 0.1–1% band of applied force. For most precision components that means sub-newton control, beyond open-loop current estimation and general-purpose control loops.
Q2: How does higher loop frequency improve cycle time?
Bandwidth determines whether contact, sensing, and correction happen within a single touch. At 10,000 Hz, the actuator lands soft, locks force immediately, and releases — no settle-and-retry. The documented result: 6 seconds to 1.5 seconds per cycle, with zero overshoot at speed.
Q3: How is force accuracy specified — and how should it be verified?
Datasheets quote best-case figures; processes live in distributions. The meaningful number is force spread over thousands of consecutive cycles under production conditions — for the closed-loop architecture above, that is ±0.1N across 5,000 cycles. Ask any supplier for the distribution, not the peak.
Q4: Can force curves support compliance and traceability programs?
Yes. Every operation generates a force-position-time record; deviations from the learned signature flag suspect units in-line, and the archive answers field-failure and audit questions retroactively — the per-unit evidence that ISO 13485 and customer PPAP processes increasingly expect.
Q5: What does a one-point yield improvement mean at volume?
At 40 million units per year, moving first-pass yield from 95% to 99.5% recovers about 1.8 million units of rework and scrap. Few component-cost programs match that return per yuan invested.