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Case Study - Southie Autonomy

Jay M. Wong, Co-Founder, Southie Autonomy

Today's robots are difficult and expensive to install, set up, and manage. Many businesses, especially the millions of SMEs, still find them cost-prohibitive and inflexible. Even collaborative robots pose a challenge in that workcell engineering and some form of programming are still requirements. A time consuming and costly integration project is often needed just to get the robot to perform a single task, and even a simple change in the environment means that this process will need to be repeated. However, market forces, like labor shortages, "skills gap", and global competitiveness are making automation of high-mix, low volume processes a necessity. This talk will examine this workforce gap between humans and (collaborative) robots, not from just a training perspective, but from the perspective of how we can think about the use of new technology to make robots more accessible to more people.

 Much like what Windows and the mouse did for PCs, and what iOS did for smart phones, we need technology that makes robots easier to understand and use by a larger portion of our workforce population. We will cover how training assembly line workers to manage flexible work cells will create higher-value, higher paying jobs while producing higher quality and higher volume parts and products. AR and AI are the technology enablers of the industrial world. Not just for games and science projects, we will cover how these two technology platforms have real-world applications and how they can contribute to the collaborative robotic assistants that we see in the movies!

1): Examine the workforce gap and today's relationship between humans and (collaborative) robots.

2): Discuss implications of worker shortage and robotic automation, not only from a worker training perspective, but from the perspective of how the use of new technology to make robots more accessible to more workers.

3):Overview of specific case studies from logistics to manufacturing