Impersonate.ai’s OS is Level Up from current autonomous techniques.
Current Autonomous techniques rely on perception learning and path learning techniques; these require ample amounts of documentation with meticulous details.
In Contrast, Impersonate.ai enables perception and path planning to be learned together giving your robots situational awareness autonomously.
Replicate human-controlled workflows autonomously. Launch new functionality in days with limited resources. Capture subtle nuances of each task automatically.
Efficiently match the needed compute power to your specific needs – balancing model complexity, unit cost, and battery life. Primary vision-based with the ability to incorporate additional sensors and information.
Completely agnostic to robot type and geometry – one system to control them all. The ability to work with any robot setup allows you to match the right robot configuration to the task at hand.
Ability to use the same record and play technology for any robotic implement, such as robotic arms. Train complex functionality into a mobile manipulator – training the base movement and arm manipulation simultaneously.
Ability to remotely and manually control a robot or give robot new instructions. Update navigation information on the fly or take over control of autonomous robots remotely. – Roadmapped
