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+## Ansys Sweep Model, Pybullet Simulation Environment, and Reinforcement Learning Controller for HEMS Magnetic Levitation
+This repository contains files with Ansys Parametric Sweep data, polynomial interpolation of this data, PyBullet simulation
+interfacing with this data and drawing from physical constraints on the actual chassis, and trial reinforcement learning models
+that learn from the environment based on a defined cost function.
+
+#### Upcoming objectives
+1. Verify again that sweep interpolation data provides reasonable estimates of real-world forces and torques using load cell
+2. Implement PID controller that interfaces with the simulation environment present in ```lev_env.py```
+3. Implement other forms of reinforcement learning control, look into designing a reward structure that is conducive to learning, and
+overall dive into more research on reinforcement learning algorithms for very sensitive tasks that are intrinsically highly unstable.