Sorry, you need to enable JavaScript to visit this website.
Strategy
Resources
Attachment Size
download linkNational Robotics Strategy 3.36 MB
Description

A blueprint for the coordination and acceleration of Australia’s robotics ecosystem, designed to boost a range of industries and the broader economy through rapid progress in robotics and automation. 

The strategy demonstrates the immense potential value of robotics to the economy, showing that up to $600 billion per year could be added to Australia’s GDP by 2030, helping to grow the manufacturing sector and address skills shortages in a range of others. According to the strategy, just a 1 per cent increase in robotics uptake could lead to a whole-of-economy boost in productivity of 0.8 per cent. 

By developing and adopting responsible robotics solutions locally instead of relying on overseas solutions, the strategy provides a framework for creating more rewarding, stable and dynamic jobs across the whole economy. In order to achieve this growth, the strategy calls for a collaborative effort from government, industry, researchers and the wider community.

The strategy is designed around four broad objectives and provides a state-of-play, case studies, existing government initiatives and consultation discussions for each. 

Objectives

  • National capability: Australia has a strong, collaborative robotics and automation ecosystem that is recognised for its strengths, has a thriving domestic market and exports globally. 
  • Increasing adoption: Australian industries are supported to integrate robotics and automation technologies into their operations in ways that benefit Australian workers and communities.
  • Trust, inclusion and responsible development and use: robotics and automation technologies designed and adopted in Australia are safe to use alongside Australian workers, and are secure and inclusive by design.
  • Skills and diversity: Australians from all backgrounds contribute to and benefit from the development and adoption
    of robotics and automation.
Publication Details
License type:
CC BY-NC
Access Rights Type:
open