An undeniable part of a smart city is its use of smart agents. These agents can vary a lot in sizes, shapes, and functionalities. Embodied artificial intelligence is the field of study that takes a deeper look into these agents and explores how they can fit into the real-world and how they can eventually act as our future community workers, personal assistants, robocops, and many more. In the shift from Internet AI to embodied AI, simulators take the role that was previously played by traditional datasets. This chapter focuses on MINOS and Habitat since they provide more customization abilities and are implemented in a loosely coupled manner to generalize well to new multisensory tasks and environments. It shows numerous task definitions and how they each can be tackled by the agents. The chapter provides information on the three main goal-directed navigation tasks, namely, PointGoal Navigation, ObjectGoal Navigation, and RoomGoal Navigation.
