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Conference 2024

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Conference 2024

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    • Reflect on how economic factors and intralogistics advancements are collectively affecting the case for automation
    • Explore technologies suitable for a variety of project types and sizes
    • Consider the benefits partnering with an integrator like TGW can bring during planning, realisation and beyond

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    • Cobots are much easier to program and start using than industrial robots
    • They are at a much lower investment price point than industrial robotic systems
    • They more directly work with the team

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    • What warehouses need today to future-proof their operations for the challenges of tomorrow

    • How to analyse current warehouse data and prioritise automation needs

    • Why intelligent automation solutions provide superior performance over traditional automation

     

     

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    • What is net zero and why should SMEs plan to achieve it
    • Case studies showing where automation fits in
    • What support is available and how to get started

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    • Who are Innovate UK?
    • What do we do?
    • How to get involved with our services (InnovateUK/Government support)

     

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    • Key takeaways and reflections from Robotics and Automation Exhibition's conference theatre through Robotics & Automation Magazine’s lens
    • An overview of the all-new Robotics & Automation Conference and its agenda, which will provide a new platform for sharing best practices, discussing sector challenges and solutions using robotics and automation
    • How the first-of-its-kind Robotics & Automation Awards recognises trends and major projects using robotics or automated systems to delivery efficiency gains or technological advancements for the betterment of industry or society
    • A digest of some of the major stories to shape the industry in the past 12 months, as reported by Robotics & Automation Magazine

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    • Why cubic storage systems are more efficient and maximize space utilization

    • How cubic ASRS systems maximize throughput and lower operating cost

    • Why ASRS systems like Ocado Intelligent Automation’s OSRS can help manage end to end supply chains, build in resiliency and predictability, and enhance end customer service levels

     

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    • Why is medical telexistence robotics technology needed?
    • The journey of developing MediTel 
    • Further challenges for medical telexistence.

     

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    • How organisations can strike a balance between leveraging AI to enhance productivity and ensuring wellbeing and job security  
    • Ethical considerations and policies to mitigate the negative impact of AI on employment 
    • Insight from four industry experts from the public sector, academia and a retail background

     

     

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    • Automation challenges in the aerospace industry
    • Robotics design lifecycle and process reliability
    • Data as a source of continuous process improvement

     

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    • Government’s view of the opportunities and challenges facing robotics and smart machines
    • The Robotics Growth Partnership’s work on a sector strategy and vision and how to feed in your views
    • Forward look of policy approach and activity

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    • Why laboratory automation should adopt similar hardware and software as factory automation
    • Laboratory automation as a fascinating insight into the final end point of automation
    • Laboratory automation as a unique aspect of logistics automation 

     

     

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    • Why we innovate
    • User-First Philosophy, First
    • Removing the burden of technical complexity from the user

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    • Identify which processes can be automated to maximise throughput and eliminate errors.
    •  Find out how logistics automation unlocks opportunities for business growth. 
    • Explore how companies are overcoming logistics challenges efficiently through robotics and digitalisation.

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    • Applications in the energy industry and value evaluation 
    • Autonomous capabilities and future prospects
    • Enhancement of safety and efficiency through Human-Robot Interaction

     

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    • What is the scope of what generative AI can be used for?
    • What practices are risky? 
    • How can generative AI be used safely and productively? 

     

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