How can technology and machines change the way we work? Ryan Gariepy took a deep dive into automating the world’s dullest, dirtiest, and deadliest jobs, and how embracing robotic solutions for assembly lines doesn’t focus on taking away manual jobs but how it takes away dangerous jobs.
14. A Decision Making Framework For
Intelligent Machine Development
What is the climate & weather?
How structured is the environment?
How fast do the systems need to move?
What kind of training and awareness is required?
How predefined is the work?
How complex are the tasks being performed?
15. The Dull, The Dirty, And The Dangerous
Economic Impact Timeline
16. Autonomous Manufacturing
Media: OTTO Motors, Kinova Measurable Economic Impact Within 5 Years
Climate Controlled
Structured Environment
Low Speeds
Trained Personnel
Defined Interactions
Ordered Tasks
17. Autonomous Mining
Media: Queens’ University Offroad Robotics Lab, FPInnovationsMeasurable Economic Impact Within 10 Years
Harsh Conditions
Unstructured Environment
Medium Speeds
Trained Personnel
Defined Interactions
Ordered Tasks
18. Autonomous Transport
Media: Embark, FPInnovations, UTIAS Autonomous Space Robotics LabMeasurable Economic Impact Within 15 Years
Harsh Conditions
Unstructured Environment
High Speeds
Untrained Personnel
Defined Interactions
Ordered Tasks
19. Autonomous Farming
Media: West Virginia Univesrity, Queensland University of Technology, Iron OxMeasurable Economic Impact Within 25 Years
Harsh Conditions
Unstructured Environment
High Speeds
Untrained Personnel
Undefined Interactions
Ordered Tasks
20. Autonomous Construction
Media: AIST, Built Robotics, Clearpath RoboticsMeasurable Economic Impact Within 35 Years
Harsh Conditions
Unstructured Environment
Untrained Personnel
High Speeds
Undefined Interactions
Unordered Collaborative Tasks