Svaya Robotics — Technical White Paper

What Makes a Robot Trustworthy?

Accuracy, Precision, Repeatability, Reproducibility & Adaptability. A technical guide to the metrics and hardware that determine whether a collaborative robot earns its place in industrial production.

by Balaji Gorantla , Ankur Agrawal
Introduction

The factory floor doesn't forgive approximations

When a robot arm places a PCB connector, welds a chassis joint, or sorts pharmaceutical blister packs, the allowable margin for error can be smaller than the width of a human hair. Yet most conversations about robotics focus on payload, reach, or speed—the headline numbers.

The true indicators of trustworthiness are reflected in the finer details of product capabilities. Accuracy, precision, repeatability, reproducibility, and adaptability determine whether a robot becomes a productive asset or a line-stopping liability. These five metrics are distinct. They measure different aspects of performance. Confusing them leads to deploying the wrong robot for the wrong task.

"A robot that is fast but imprecise is not an asset. It is a liability with a warranty."

This paper defines each metric, explains what drives them at the hardware and software level, and shows why getting them right is the foundation of every other performance claim a robot manufacturer can make. By the end, you will understand what separates a research prototype from a production-ready cobot.

Five metrics, five failure modes

These terms are often used interchangeably in casual conversation, but they describe entirely different problems. Understanding the difference is the first step to specifying the right robot.

Accurate, Not Precise
Shots cluster around the target but scattered
Precise, Not Accurate
Tight cluster — but in the wrong spot
Accurate & Precise
The goal: consistent and correct

Precision

How tightly the robot's measurements cluster around a central point, independent of whether that point is correct. A precise robot hits the same spot every time. It may be the wrong spot, but it's consistent. High precision without accuracy equals a well-calibrated mistake.

Accuracy

How close the robot gets to the intended target position, on average. A robot might land at the right location most of the time, but with wide variation between shots. High accuracy does not guarantee precision—only that the bias is small.

Repeatability

Given the same command and identical conditions, can the robot return to the exact same pose, every single time, across millions of cycles? This is the gold standard quoted in robot spec sheets. Repeatability is what turns a motion into a process you can rely on.

Reproducibility

Can the robot achieve the same results when moved to a different location, operated by a different person, or deployed in a slightly different setup? Repeatability measures consistency under identical conditions. Reproducibility measures consistency across varying conditions. It's the difference between "does it work here" and "does it work anywhere."

Adaptability

What happens when conditions change mid-operation? If the mounting table shifts, a fixture loosens, or the parts arrive slightly out of position, can the robot sense that change and adjust its motion in real time? Adaptability is the capability that separates rigid automation from intelligent automation.

Note: Adaptability is a broad and evolving subject, and will be explored in detail in a future white paper.

For most manufacturing applications, repeatability and reproducibility are what matter most. A robot can be software-calibrated to improve accuracy, but poor repeatability cannot be fixed after the fact—it shows up as product defects, rework, and unplanned line stoppages.

What ±0.02 mm actually looks like

Repeatability specs are quoted in millimetres or microns, but those numbers remain abstract until you see them in context. The Svaya SR-L series achieves ±0.02 mm repeatability—that's 20 microns, or roughly half the width of a human hair.

To put this in perspective: at that repeatability level, the robot can reliably perform tasks that require sub-millimetre placement, such as PCB component insertion, connector alignment, and medical device assembly. Below this threshold, tasks move into the "human judgment required" category. Above it, you enter specialty electronics and semiconductor territory.

The hardware that makes precision possible

Every repeatability specification is the sum of dozens of individual hardware choices. A robot arm is not just a mechanical structure—it is a precision instrument in which each joint, sensor, actuator, and its control contribute to the final positioning error budget.

Hardware with Zero Play

Even sub-micron levels of play—whether from backlash in gears, compliance in structural elements, or micro-gaps at mounting interfaces—directly translate into positioning errors at the end effector. These errors are particularly problematic because they are not constant; they vary with load, direction, and wear, making them difficult to compensate through software alone.

Most importantly, integration matters. Systems built from off-the-shelf components like motors, gearboxes, and structures assembled independently inevitably introduce cumulative tolerances and misalignments. In contrast, a co-designed system, where every component is engineered together, minimizes these error sources. Svaya's in-house development and precision manufacturing approach ensures that mechanical play is controlled at the system level, not just at the component level.

Absolute Position Sensing at Every Joint

A robot's ability to achieve precision depends on how accurately it can measure its own state.

Relative encoders measure incremental motion; they only track how far a joint has moved from a reference position. Any loss of that reference, such as during a power cycle, requires re-homing and introduces uncertainty.

Absolute encoders eliminate this limitation. They always provide the exact joint position, including immediately after power-up, ensuring continuity and reliability in operation. However, just having an absolute encoder doesn't ensure high repeatability. The resolution and accuracy of the encoders themselves must be high to ensure high repeatability and reproducibility.

Such high-resolution absolute encoders allow the control system to detect even the smallest deviations in motion and correct them in real time. Without accurate sensing, even the most sophisticated control algorithms operate blindly. The encoder is the robot's proprioceptor—its moment-to-moment awareness of its own position. If that signal is noisy or low-resolution, disturbances accumulate into errors before they can be detected and corrected.

Real-Time Control Systems

Hardware establishes the foundation of precision, but control systems enforce it.

The robot's control loop continuously recomputes position, velocity, and torque commands at each joint, typically at frequencies on the order of 1000 Hz. At this rate, the system can detect and correct disturbances, such as load variations, external forces, or dynamic effects, before they become visible at the task level.

Tight feedback loops with well-maintained timings, combined with well-tuned control strategies such as PID-based regulation, enable:

Accurate trajectory tracking ensures smooth and predictable motion, even under varying loads or external disturbances. This not only improves precision but also reduces the risk of mechanical stress, misalignment, and long-term wear.

At Svaya, we have engineered our control systems to have minimal error residues (±2 encoder counts). This ensures that the robot's repeatability from control systems is always under ±20 microns. Our software and controls engineering ensures the timing and loop rates required for this are maintained across different operating conditions, including changes in load and temperature.

Repeatability test videos & results

Video showing the repeatability testing process for Svaya SR-L6 robot and measurement values using a laser sensor.

Figure 1: Repeatability test results of the 6 kg payload Svaya SR-L6 robot, demonstrating positioning consistency within ±20 microns range.

Figure 2: Magnified view of Figure 1, highlighting fine-scale performance where the Svaya SR-L6 maintains positioning precision within ±2 microns.

Video showing the repeatability process of the Dual Arm robot using a strain gauge sensor

Video showing the repeatability process of the right arm Dual Arm robot using a strain gauge sensor. The two videos showcase the reproducibility of Svaya Robots.

Conclusion

Trust is earned through precision

A robot becomes production line ready when metrics like accuracy, precision, repeatability, reproducibility, and adaptability are all within the specification simultaneously. Violation in any one of these metrics has downstream affects on customer's deployment. At Svaya we know the importance of customer's trust and our vertically integrated stack serves the cause.

The result is a robot that earns its place on the production line. Not as a novelty, but as a reliable asset that improves yield, reduces rework, and gives operators confidence in its output.

"The question is not whether robots belong on the factory floor. The question is whether the robots you deploy are good enough to trust."

Want to explore what's possible for your production line?

Svaya's engineering team can model your application's tolerance requirements and specify the right cobot configuration before any capital commitment.

Email Us: info@svayarobotics.com