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What are the main challenges of scaling up your robot production and deployment?

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Scaling up your robot production and deployment is not a simple matter of making more units and sending them out to the field. You need to consider various technical, operational, and ethical challenges that can affect the quality, performance, and impact of your robots. In this article, we will explore some of the main challenges and how you can overcome them.

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1 Hardware design

One of the first challenges of scaling up your robot production is to ensure that your hardware design is robust, reliable, and adaptable. You need to account for different environmental conditions, user requirements, and safety standards that your robots may encounter. You also need to balance the trade-offs between cost, complexity, and functionality of your components and materials. For example, you may want to use modular design principles that allow you to reuse and customize parts for different applications and scenarios. You may also want to implement quality control and testing procedures that ensure your robots meet the specifications and expectations of your customers.

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Enzo W?lchli

???? World-wide #1 Robotics Voice on LinkedIn ?? Guiding #deeptech startups to crack the commercial code from seed to scale ?? Executing myself as CCO at ANYbotics
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Create a really difficult bootcamp for your robots that resemble the real world so you can do extensive testing before shipping. Fixing issues at home is 10x cheaper than post shipment.

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Onur Sezgin

Founder at CTO Robotics | Robotics & Automation Specialist | ???? Turkey’s Leading Voice in Robotics | Let’s Collaborate on #AI #Cobots #Mechatronics #Engineering #Innovation | ?? DM for Marketing & Partnerships
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To facilitate the scalability of robot production, prioritize a robust and adaptable hardware design, accommodating diverse environmental conditions and user demands while adhering to safety standards. Balancing cost, complexity, and functionality, consider modular design principles for versatile part reuse and customization across various applications. Implement stringent quality control and testing protocols to ensure compliance with customer specifications and expectations. This approach fosters a resilient production framework, enabling efficient and reliable robot manufacturing at scale.

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2 Software development

Another challenge of scaling up your robot deployment is to ensure that your software development is efficient, scalable, and secure. You need to manage the complexity and diversity of your code base, as well as the dependencies and compatibility of your software libraries and frameworks. You also need to handle the data and communication needs of your robots, as well as the potential risks of cyberattacks and hacking. For example, you may want to use agile and DevOps methodologies that enable you to iterate and update your software quickly and reliably. You may also want to use cloud-based and edge computing solutions that provide you with storage, processing, and networking capabilities for your robots.

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Mihir Acharya

NVIDIA Robotics | Enabling AI-based Robot Perception and Mobility| Technical Writer and Speaker
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Considering code optimization at the prototyping stage can save from optimization efforts during the production stage. Memory and performance issues are common due to limited compute resources when the software is deployed on to embedded boards.

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Vinicius de Lima

Automation Process Engineer at Superior Farms
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In my opinion to be able to scale and optimize the full application of robots, camera vision systems and the AI learning and identification of sorting and proper identification of the items, for example like defective and/or leakers on the packaging side world it is still a holding off for fully automation equipment and production lines at the moment….

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3 System integration

A third challenge of scaling up your robot production and deployment is to ensure that your system integration is seamless, coherent, and flexible. You need to coordinate the interaction and collaboration of your robots with each other, as well as with other devices, systems, and human operators. You also need to adapt to the changing needs and demands of your customers and stakeholders, as well as the regulatory and ethical frameworks that govern your robot use. For example, you may want to use standard protocols and interfaces that facilitate the interoperability and compatibility of your robots. You may also want to use user-centric and participatory design approaches that involve your end-users and beneficiaries in the development and evaluation of your robots.

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Deep Dave

Technology Consultant | Digital Strategy | Business Transformation | I help businesses save costs by improving operational efficiency with tailored Industry 4.0 solutions and Digital Transformation strategies.
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Scaling up robot production and deployment presents multifaceted challenges. Beyond increasing quantities, harmonizing system integration is crucial. Robots must seamlessly collaborate with each other, other devices, and humans while adapting to evolving customer needs and regulations. Embracing standard protocols, user involvement, and ethical considerations is pivotal for successful expansion.

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4 Maintenance and support

A fourth challenge of scaling up your robot production and deployment is to ensure that your maintenance and support is effective, affordable, and accessible. You need to monitor the performance and health of your robots, as well as the feedback and satisfaction of your users. You also need to provide timely and adequate repair, upgrade, and disposal services for your robots, as well as training and education for your users and staff. For example, you may want to use remote and autonomous diagnosis and troubleshooting tools that help you identify and resolve issues with your robots. You may also want to use online and offline platforms and communities that offer you guidance, assistance, and resources for your robot operation.

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Enzo W?lchli

???? World-wide #1 Robotics Voice on LinkedIn ?? Guiding #deeptech startups to crack the commercial code from seed to scale ?? Executing myself as CCO at ANYbotics
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Make sure you have agreements in place that you own the robot data so you can do remote diagnostics and health monitoring. Build that in as a non-negotiable into your commercial terms.

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5 Innovation and improvement

A fifth challenge of scaling up your robot production and deployment is to ensure that your innovation and improvement is continuous, relevant, and impactful. You need to keep up with the latest trends and developments in the robotics field, as well as the changing needs and expectations of your customers and society. You also need to measure and evaluate the outcomes and impacts of your robots, as well as the opportunities and challenges that they create. For example, you may want to use research and development strategies that enable you to explore new ideas and solutions for your robots. You may also want to use impact assessment and stakeholder engagement methods that help you understand and address the social and ethical implications of your robots.

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Deep Dave

Technology Consultant | Digital Strategy | Business Transformation | I help businesses save costs by improving operational efficiency with tailored Industry 4.0 solutions and Digital Transformation strategies.
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Adopting an innovative approach, consider using a continuous feedback loop inspired by Tesla's Autopilot. Instead of waiting for periodic updates, enable robots to learn from real-world interactions and share insights via cloud-based systems. This approach, akin to Tesla's over-the-air updates, keeps robots constantly improving and adapting to changing conditions, meeting customer demands effectively while ensuring ethical considerations are addressed through ongoing monitoring and adjustment.

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6 Collaboration and communication

A sixth challenge of scaling up your robot production and deployment is to ensure that your collaboration and communication is effective, transparent, and inclusive. You need to work with various partners and stakeholders, such as suppliers, distributors, customers, regulators, researchers, and civil society, that have different interests, perspectives, and expectations regarding your robots. You also need to communicate your vision, goals, and values, as well as your achievements, challenges, and learnings, to your internal and external audiences. For example, you may want to use collaborative and co-creative platforms and tools that enable you to share and exchange information and resources with your partners and stakeholders. You may also want to use storytelling and branding techniques that help you convey your message and identity to your audiences.

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7 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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Mihir Acharya

NVIDIA Robotics | Enabling AI-based Robot Perception and Mobility| Technical Writer and Speaker
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Code verification and validation is also important for certifying the safety of the system. Working in an ecosystem that allows developing the systems with keeping V&V in mind since the beginning is helpful.

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What are the main challenges of scaling up your robot production and deployment?

1

2

3

4

5

6

7

1 Hardware design

2 Software development

3 System integration

4 Maintenance and support

5 Innovation and improvement

6 Collaboration and communication

7 Here’s what else to consider

Robotics

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What are the main challenges of scaling up your robot production and deployment?

1

2

3

4

5

6

7

1 Hardware design

2 Software development

3 System integration

4 Maintenance and support

5 Innovation and improvement

6 Collaboration and communication

7 Here’s what else to consider

Robotics

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