Quantum Bayesian Robotics 101

Introduction to Quantum Bayesian Robotics

Quantum Bayesian Robotics is a field of study that combines the principles of quantum mechanics and Bayesian probability to create robots that can think for themselves.

At its core, Quantum Bayesian Robotics is based on the idea that probability is not just a measure of chance, but a fundamental aspect of reality.

With this understanding, our robots can make decisions that take into account not just the laws of physics, but also the whims of their human overlords.

Or, at least, that's the theory.

				// Quantum Bayesian Robotics Theory
				// By: Dr. Emily J. Robotson
				// Version 1.0
				// 2023-02-20
				// This is the code that makes the theory happen.
				// Don't try to make sense of it.
			

The key to Quantum Bayesian Robotics is not just understanding the math, but also the art of making your human overlords think you're doing something useful.

- Dr. Emily J. Robotson

Copyright 2023 Quantum Bayesian Robotics, Inc.