Collaborative robots for manufacturing automation are spreading across the industry, where they are used alongside humans to improve factory production efficiency and reduce hazards. In terms of units, it is estimated that the worldwide stock of operational industrial robots will increase from about 2,097,500 units at the end of 2017 to 3,788,000 units by 2021. Between 2018 and 2021, it is estimated that almost 2.1 million new industrial robots will be installed in factories around the world. Technological advancements in robotics, big data, machine learning, artificial intelligence (AI), and the Internet of Things (IoT) are propelling the evolution of manufacturing automation. The issue with the massive scale up of robotic automation is the amount of data generated as a result of the new robots, tooling, and functions used for manufacturing on a massive scale. This data if not processed and organized in a proper way will significantly delay the necessary volume which is projected during the continued development of the Industrial revolution 4.0. The snickerdoodle will allow for faster and more flexible programming of industrial automation robots. Snickerdoodle minimizes the time and effort needed for programming of automatic robots and widens their range of applications. Its field programmable gate array (FPGA) Intellectual Property (IP) cores are built to address a variety of markets and applications. Moreover, its full-stack module enables to accelerate computationally intensive algorithms by up to 100x compared to conventional microprocessors and GPUs, thus reducing processing rate and power requirements. By enabling edge-computing, snickerdoodle reduces data communication delays by 99% and decreases data transmission costs by 66%. It supports latency-sensitive and bandwidth-intensive data processing applications, enables up to 5x more efficient machine learning, and allows real-time machine-to-machine operations.
