Hongyun Lee – Robotics101

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Hongyun Lee – Robotics101

Most robotics courses teach you how to use tools—few teach you how systems actually work underneath.

Robotics101 is built around a different philosophy: understanding robotics from first principles

so you can design, not just assemble.

Instead of relying on pre-built frameworks or “black box” libraries, the course focuses on the math, physics,

and logic that power real autonomous systems.

Through, learners are guided toward becoming engineers who can build and explain robotic systems from the ground up.

Moving Beyond “Copy-Paste Robotics”

A major theme in Robotics101 is breaking away from tutorial-driven learning.

Inside, key ideas often include:

Understanding why systems work—not just how to run them

Avoiding dependence on pre-built libraries

Thinking like an engineer rather than a user

Solving problems from first principles

Building confidence in designing systems independently

This approach shifts you from a “tool user” to a system architect.

The Engineering Loop: Math → Code → Reality

One of the defining frameworks in Robotics101 is a structured engineering cycle.

Participants typically work through:

Translating physical systems into mathematical models

Converting equations into working code

Testing systems in realistic simulations

Iterating based on real-world imperfections

Understanding how theory behaves in practice

This loop ensures deep understanding, not surface-level knowledge.

Core Foundations of Robotics Systems

Rather than focusing on specific tools, the course emphasizes universal principles.

Topics include:

Control systems and feedback loops

System dynamics and motion behavior

Sensor fusion and data integration

State estimation and filtering

Coordinate transformations and spatial reasoning

These concepts form the backbone of modern robotics and autonomy.

Building Autonomous Systems from Scratch

Hands-on implementation is a key part of Robotics101.

Inside, learners may encounter:

Building a simulated ground robot

Developing autonomous drone logic

Writing controllers without relying on frameworks

Integrating sensors manually

Testing systems under noisy, real-world conditions

The goal is not just to build—but to understand every component.