In this exploration I create a smart shoe sensor and use a machine learning algorithm to classify type of moment. That movement is then used and sent out as V2X signals to alert vehicles in a smart city environment.
This paper (click the title for published results) is an exploration is the current trends in supply chain and manufacturing, usage of robotics, computer vision and machine learning are explored here with their types of implementation and their implications on manufacturing.
This project was an exploration of resource optimization centered around compute resources for a swarm of robots. The robots were tasked with operating a safety zone and running through their tasks with different compute architectures in mind, attempting to solve for efficiency.
