Engineering

Machine Learning (ML)-
The robot is connected to Google Cloud Platform and utilizes AI, ML, and Natural Language Processing services. Users can talk to the robot in their normal voice to control motion and force during a massage routine. Algorithms and AI enable the robot to recognize patterns of what humans prefer. Sensors collect data from networked robots and, through ML, gain experience in what humans like. Using Bigdata and a Deep Learning Recommendation Engine, the robots learn to diagnose with increasing accuracy and prescribe massage routines with precision.

Collaborative Robotics-
The robot has two 6-axis collaborative robotic arms that are intrinsically safe due to mass, speed, gearing, and software limits. The robot is programmed with sophisticated algorithms and equations that process parameters from a database. Parameters such as tool-ID, location, duration, path, speed, and force describe a given routine segment. Segments can be strung together into an unlimited number of different full routines.

Sharing Massages-
The robot is integrated with a mobile App. Users can intuitively create personalized massage routines and then share them publicly or privately. The robot uses a proprietary calibration process to measure each user’s body coordinates while setting up a profile. These coordinates are then used in an algorithm that enables users to share routines, so even the largest NFL football player can share with the tiniest ballerina