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Simulation Basics

Simulation is the foundation of Digital Twin development.
Before running robots in the real world, engineers test their motion, sensors, and environment interactions safely inside a virtual environment.

Robotics simulation enables faster development, reduces hardware risks, and supports repeatable experiments.

Why Simulation Matters​

Humanoid and mobile robots operate in complex environments. Simulation helps you:

  • Test navigation & perception algorithms
  • Validate robot movements without causing hardware damage
  • Experiment with new ideas quickly
  • Reproduce tests with consistent conditions
  • Generate synthetic training data for AI models

Core Elements of a Robotics Simulation​

1. 3D Environment​

A realistic virtual world containing:

  • Objects
  • Obstacles
  • Surfaces
  • Lighting

These elements mimic the physical surroundings where the robot operates.

2. Robot Model​

A simulated representation of the real robot including:

  • Joints & links
  • Sensors
  • Actuator limits
  • Collision geometry

In this module, we will work with URDF/SDFormat robot models.

3. Physics Engine​

The engine ensures the world behaves realistically by simulating:

  • Gravity
  • Friction
  • Collisions
  • Dynamics & inertia

Common physics engines:

  • Gazebo Classic / Ignition
  • NVIDIA PhysX (used in Isaac Sim)

4. Sensors​

Simulation platforms provide realistic sensor models for:

  • RGB & Depth cameras
  • LiDAR
  • IMU
  • Force/Torque sensors

These are crucial for training perception and control algorithms.

What You Will Learn in This Module​

In Module 2, you will:

  • Build simulation environments
  • Load and test robot models
  • Simulate cameras, LiDAR, and IMUs
  • Debug perception and navigation in a virtual world
  • Prepare pipelines for real-world deployment

This chapter forms the foundation for creating complete Digital Twins in the next lessons.

Next Chapter → Building Your First Simulation Environment