Industrial robots have been widely adopted by the automotive, semiconductor and mass electronics sectors in order to perform repetitive, complex, or dangerous tasks. Their proven benefits include increases in productivity, reduction in overheads, reduction in waste, and flexibility.
At Deep Learning Robotics we firmly believe that, in the new global economy, companies across all sectors have no choice but to automate their processes to the greatest extent possible. The USA and Israel, for example, both excel in innovation but they cannot competitively produce many of their own products -- even for local consumption. High wages compared to countries like China and India and low automation levels compared to countries like Japan, German and Korea are some of the key disadvantages that Israeli and US manufacturers face when trying to compete with their global counterparts.
An ongoing survey that we conducted (sample size so far: 53 companies employing a total of 6,423 employees) clearly highlights the issues at hand:
From responses to the question "How many robots do you currently have in operation?" we can deduce that there are on average 95 robots per 10,000 employees. This is a very low density.
In response to the question “What are the main reasons for not implementing robots in the past?” 66 % indicated complexity and lack of knowledge as the main reasons.
However in order to make automation feasible across a wider range of industries and applications, paradigm-shifting enabling technologies -- like the ones Deep Learning Robotics has developed and will continue to develop –must be introduced into the robotics domain.