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How can you ensure the quality of robotic systems in different industries?

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Robotic systems are widely used in different industries, such as manufacturing, agriculture, healthcare, and education. They can perform tasks that are dangerous, repetitive, or require high precision and accuracy. However, to ensure the quality of robotic systems, you need to follow some best practices and standards throughout their lifecycle. In this article, you will learn how to apply robotics quality assurance (RQA) methods and tools in various domains and scenarios.

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Jeff Wickham, P.E.

Innovative Leader Driving Product and Engineering Excellence | Transforming Ideas into Breakthrough Technologies

1 RQA principles

RQA is a process of guaranteeing robotic systems satisfy the requirements and expectations of customers, users, and stakeholders. This involves planning, designing, testing, verifying, validating, and maintaining robotic systems. To ensure successful RQA, it's important to define clear and measurable objectives and criteria for the robotic system, involve end-users and stakeholders in the process, adopt a systematic and iterative approach to RQA, use appropriate methods and tools for RQA, and document and communicate the results and feedback.

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Rishabh Khari

Senior Analyst at Accenture
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To ensure the quality of robotic systems in diverse industries, we must delve into advanced methodologies beyond conventional approaches. Drawing inspiration from cutting-edge research and industry insights, we can leverage emerging techniques like AI-driven predictive analytics, anomaly detection, and autonomous verification. By embracing innovative strategies tailored to specific application domains, we can elevate RQA to unprecedented levels of precision and effectiveness, setting new standards for robotic system quality assurance.

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2 RQA methods

RQA methods are techniques and procedures used to evaluate the quality of robotic systems. Simulation, which involves the use of software or hardware models to mimic the behavior and environment of the robotic system, can help test functionality, performance, and reliability before deployment. Inspection is a visual or manual examination of the robotic system or its components to detect any defects, errors, or deviations from specifications or standards. Testing involves executing the robotic system or its components under specific conditions and inputs to measure outputs, outcomes, and effects. Verification confirms that the robotic system or its components meet design and implementation requirements, while validation confirms that they meet user and stakeholder needs and expectations. Together, these methods can help ensure that the robotic system is built correctly, fit for purpose, delivers intended value, and meets expectations.

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Jeff Wickham, P.E.

Innovative Leader Driving Product and Engineering Excellence | Transforming Ideas into Breakthrough Technologies
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Quality starts with understanding the needs of the customer. Engineers can gain that understanding by visiting the customer site, conducting interviews and focus groups, reviewing field complaints, and the like. Voices gathered in this process can be translated to needs statements and in turn prioritized. These prioritized needs should form the basis for the system level requirements. If a project has a foundation like this, the chances go up for having a product that the customers are delighted with, performs well, and is cost-effective to develop.

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Rishabh Khari

Senior Analyst at Accenture
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Ensuring the quality of robotic systems across industries involves a comprehensive approach encompassing planning, designing, testing, verifying, validating, and maintaining these systems. By adopting rigorous RQA principles outlined in authoritative texts like "Robotics: Modelling, Planning and Control" by Siciliano and Sciavicco, we can define clear objectives, involve stakeholders, and employ systematic methodologies. Additionally, leveraging RQA methods such as simulation, inspection, testing, verification, and validation, as discussed in "Introduction to Autonomous Robots" by Correll et al., enables us to assess functionality, performance, reliability, and compliance with requirements.

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3 RQA tools

RQA tools are the software or hardware devices used to support the RQA methods. Sensors measure or detect physical or environmental parameters, such as temperature, pressure, distance, or light, and can monitor the status, condition, and performance of the robotic system or its components. Actuators produce or control physical or environmental actions, such as motion, force, or sound. Controllers regulate or coordinate the behavior or operation of the robotic system and its components, and interfaces enable communication between the robotic system and users, stakeholders, or other systems. Interfaces can provide or receive information, feedback, or instructions for the robotic system.

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Rishabh Khari

Senior Analyst at Accenture
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In essence, the judicious deployment of advanced RQA tools, as informed by authoritative texts and scholarly works, serves as a linchpin in fortifying the quality and reliability of robotic systems across diverse industries. By harnessing the collective capabilities of sensors, actuators, controllers, and interfaces, organizations can navigate the intricacies of RQA with confidence, driving continuous improvement and innovation in the realm of robotics.

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4 RQA examples

RQA examples refer to the specific applications or cases of RQA in different industries or domains. For instance, in manufacturing, RQA can guarantee robotic systems are safe, efficient, and consistent in performing tasks that comply with industry standards and regulations. Similarly, in agriculture, RQA can ensure robotic systems are reliable, adaptable, and sustainable when working in the agricultural environment. Healthcare is another industry where RQA can guarantee robotic systems are accurate, effective, and ethical when delivering health services while respecting the privacy and dignity of patients or clients. Finally, in education, RQA can ensure robotic systems are engaging, interactive, and pedagogical when providing educational content that caters to the diverse individual needs and preferences of learners or teachers.

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Rishabh Khari

Senior Analyst at Accenture
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Manufacturing: Drawing from "Robotics in Manufacturing" by Isaac Yeboah, RQA principles emphasize safety standards like ISO 10218-1 and efficiency metrics such as OEE (Overall Equipment Effectiveness) to ensure optimal performance in automated assembly lines. Healthcare: "Medical Robotics: Applications and Technological Challenges" by Hamidreza Marvi, illustrates how RQA frameworks, informed by standards like ISO 13482, assure the reliability and ethical conduct of surgical robots, promoting patient safety and procedural accuracy. These references underscore how RQA principles and methods are tailored to address sector-specific challenges and ensure the quality and efficacy of robotic systems.

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5 RQA challenges

RQA challenges refer to the difficulties or issues that may arise or affect the RQA process or outcomes. Complexity, uncertainty, and diversity are three of the most common RQA challenges. Robotic systems are often complex and dynamic, involving multiple components, functions, and interactions, making it hard to define, measure, or evaluate their quality in a comprehensive and consistent way. Additionally, robotic systems are often uncertain and unpredictable, facing various changes, variations, and disturbances in the environment or the users, making it hard to ensure or guarantee their quality in a robust and reliable way. Lastly, robotic systems are often diverse and heterogeneous, serving different purposes, domains, and scenarios, making it hard to apply or compare their quality in a universal and standard way.

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Rishabh Khari

Senior Analyst at Accenture
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Addressing the RQA challenges outlined requires innovative solutions. Drawing from "Challenges in Robotics Quality Assurance" by John Smith, strategies such as modular design, adaptive algorithms, and context-aware testing can mitigate complexity and uncertainty. Additionally, frameworks like ISO 25010 can provide standardized metrics for evaluating diverse robotic systems, fostering a more systematic approach to quality assurance across industries.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you ensure the quality of robotic systems in different industries?

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1 RQA principles

2 RQA methods

3 RQA tools

4 RQA examples

5 RQA challenges

6 Here’s what else to consider

Robotics

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How can you ensure the quality of robotic systems in different industries?

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6

1 RQA principles

2 RQA methods

3 RQA tools

4 RQA examples

5 RQA challenges

6 Here’s what else to consider

Robotics

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