Presenter: Harsh Agrawal
In this tutorial, we will look at how to setup an interaction task in Habitat Lab. We’ll cover key components using the task of furniture rearrangement as an example. We will walk through how to create, store and load objects into the simulator; define new action spaces such as a magic pointer action for grabbing / releasing objects; extend the observation space to include information about the objects and create reward functions for training RL agents. Finally we will train an RL agent to solve a single episode of this task. After going through this tutorial, one should be able to utilize all the interactive features of the Habitat Simulator and expose them through Habitat Lab in the form of observations, new action spaces, measurements and reward.
Follow along in the interactive Colab notebook at https://aihabitat.org/tutorial/2020.