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An affordable edge-computing device for high-performance and power-efficient robotics automation


Industrial automation is a global trend of today’s industrial landscapes, aiming at increasing quality, flexibility and safety in
manufacturing lines by using robotics and IoT technologies to control machinery and manufacturing processes. Setting up
manufacturing automation lines is currently a time-consuming and costly process, since it requires to build up complex
hardware-software platforms by assembling many different expensive components (e.g., processing units, wireless modules,
GPIO, FPGA, etc.). In addition, platform customization for specific use-cases implies some – or all – of these components to
be changed, in order to meet the desired requirements (e.g., performance, power, interface, etc.). Krtkl has developed
Snickerdoodle, the first full-stack development board for robotic systems that combines functionality, usability and
affordability in just one palm-sized device. Snickerdoodle is conceived for high-performance robotics applications, and it can
be quickly and easily configured and re-programmed via a companion smartphone application (iOS & Android).
Snickerdoodle minimizes the time, effort and cost needed for setting up and maintaining industrial robots. Moreover, it can
be used to create local computing networks to use alongside the cloud network, such as edge computing systems. During the
Phase 1 feasibility assessment, a go-to-market strategy and a supply chain will be established, as well as further
development plan will be drafted.

Field of science

  • /natural sciences/computer and information sciences/data science/data processing
  • /social sciences/economics and business/business and management/business model
  • /natural sciences/computer and information sciences/data science/big data
  • /social sciences/sociology/industrial relations/automation
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/robotics
  • /natural sciences/computer and information sciences/internet/internet of things
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /social sciences/economics and business/business and management/commerce

Call for proposal

See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1


Unit 6 Queens Yard, White Post Lane
E9 5EN London
United Kingdom
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000