TRANSFORM MANUAL COMMERCIAL CLEANERS AND FLOOR SCRUBBERS INTO AUTOMATED SELF-DRIVING MACHINES.
LOW COMPUTING INTENSITY
Q-SLAM technology is less computational intensive than what competitors use.
Lower battery usage combined with hardware savings, creates a lower cost system.
UPGRADE OLD-SCHOOL COMMERCIAL CLEANERS INTO SELF-DRIVING BOTS.
An array of sensors are used to help Transformer autonomously navigate. Advanced depth sensors measure distance, while TOF sensors detect obstacles.
Transformer uses Q-SLAM technology and machine learning to build a real-time map of its environment.
Early obstacle and object detection are not a problem. The Transformer is always aware of its relative location through a combination of SLAM, STC, and machine learning.