Kindred is using Quantum Computing AI-driven robotics so that one human worker can do the work of four.
Kindred has many of the top quantum computing and deep learning artificial intelligence experts in Canada on its team.
CEO is Geordie Rose who is CTO of Dwave Systems.
CTO is Suzanne Gildert, a former D-Wave researcher.
Graham Taylor is on the Kindred patent. Graham leads the Machine Learning Research Group at the University of Guelph. He studied at the University of Toronto under Geoff Hinton. Hinton works for Google and co-invented Boltzmann machines in 1985.
In the Kindred system an operator wears a head-mounted display and an exo-suit of sensors and actuators carries out everyday tasks. This is somewhat like motion capture for animation but instead it is biometric action data captured for AI analysis and learning.
Data from the suit and from other external sensors is then analyzed by computers in the cloud and used to control distant robots. The data could also be used to train machine learning algorithms that would allow the robots to imitate the operator’s actions autonomously.
Arm, hand, leg and body data is captured.
The suit has chemical and biometric sensors, and EEGs and MRI devices to capture brainwaves.
The robot is envisioned as a 1.2-meter tall humanoid, possibly covered with synthetic skin, with two (or more) arms ending in hands or grippers, and wheeled treads for locomotion. Cameras on its head would stream high-definition video to its simian operator, while other sensors might include infrared and ultraviolet imaging, GPS, touch, proximity and strain sensors, and even a radiation detector.
The system can also used for teleoperation. The system looks to go beyond prior simple feedback teleoperation to something more like Avatar and enhanced with AI automation.
Kindred will analyze the information using “deep hierarchical learning algorithms” such as a conditional deep belief network (CDBN) or a conditional restricted Boltzmann machine (CRBM), a type of powerful recurrent neural network.
Dwave Systems says that the operation of its system is “analogous to a … restricted Boltzmann machine,” and that its research team is “working to exploit the parallels between these architectures to substantially accelerate learning in deep, hierarchical neural networks.” In 2010, Geordie Rose co-authored a paper that claimed a quantum computer could perform some types of machine learning applications more efficiently than software on a traditional computer.
Kindred patent – A method of deriving autonomous control information involves receiving one or more sets of associated environment sensor information and device control instructions. Each set of associated environment sensor information and device control instructions includes environment sensor information representing an environment associated with an operator controllable device and associated device control instructions configured to cause the operator controllable device to simulate at least one action taken by at least one operator experiencing a representation of the environment generated from the environment sensor information. The method also involves deriving autonomous control information from the one or more sets of associated environment sensor information and device control instructions, the autonomous control information configured to facilitate generating autonomous device control signals from autonomous environment sensor information representing an environment associated with an autonomous device, the autonomous device control signals configured to cause the autonomous device to take at least one autonomous action.