SYSTEM_STATUS: ENROLLMENT_OPEN

Build Intelligent
Physical Systems.

We bridge the fatal gap between academic theory and real-world deployment. No toys. No scripts. Just rigorous engineering.

Explore Career Tracks Read the Manifesto
~/ubicoders/projects/autonomous_nav
> deploying_blackbox_package... OK
> adding_custom_sensor... FAILED
> error: undefined_covariance_model
update_state (x, P, z, R):
  y = z - H @ x
  S = H @ P @ H.T + R
  K = P @ H.T @ inv(S)
# The math you typically skip
> SLAM_INIT: OK
> MODE: LOCALIZATION
> CONFIDENCE: 98.4%
LIDAR_ACTIVE

THE MANIFESTO

We are tired of "Hobbyist" Education.

The internet is drowning in tutorials that teach you how to copy code, but almost none teach you how to derive it.
Real-world robotics isn't about assembling kits or running scripts. It is high-stakes, real-time (sensor data and actuator commands) data science and deep learning.

Warning:

If you define robotics as fastening bolts and nuts or downloading open-source ROS2 packages,

you are in the wrong place.

Ubicoders is different.

We believe true innovation emerges from mastering the connection among the math, the code, and the physics—not from relying on the abstractions of tools like Arduino or ROS2.

Most courses teach you ROS2 commands in a terminal but skip the dynamics of the physical world. They show you how to call a SLAM library but ignore the nonlinear optimization that makes it possible.

Without the applied math, you are powerless. How will you integrate a novel sensor or train a physics-aware model if you don't understand the underlying dynamics?

Will you just wait for some other "architects" with A.I to publish the library?

Without first principles, you remain a hobbyist. Professional robotics is about optimization, control theory, and formulating loss functions that allow machines to learn from reality.
Applied Math
Code
Physics

We strip away the comfort.

We force you to confront the raw math, the bare-metal code, the messy and noisy signals, and the unforgiving physics.

Stochastic, Not Deterministic

Real robots live in uncertain worlds. We focus heavily on Probabilistic Robotics, State Estimation, and Sensor Fusion.

Full-Stack Systems

Don't just be a software dev. Learn to design the PCB, write the firmware, structure the middleware, and deploy the AI.

No more student mindset

In the era of AI, we have no more luxury of being students. We need to be practitioners.

Engineering Tracks

Choose your specialization. All tracks share the same rigorous mathematical foundation but diverge in application.

Open Waitlist

Robotics 101: Systems & Autonomy

The flagship course. Bootstrap the foundation of robotics engineering. Learn Based on Linear Algebra, Control Theory, and Inertial Sensor Fusion.

  • PID Control with UAV & UGV
  • Complimentary Filter with IMU using DCM
  • State Space Models
  • Control Theory
  • Inertial Sensor Fusion
Course Overview
Open Waitlist

Computer Vision

The flagship course. Bootstrap the foundation of robotics engineering. Learn Based on Linear Algebra, Control Theory, and Inertial Sensor Fusion.

  • Image Processing
  • Video Processing
  • Feature Extraction
  • 3D Camera Calibration
  • Depth Perception
Course Overview
Waitlist

Visual Navigation & SLAM

Deep dive into 3D reconstruction. Photogrammetry, Lidar pointcloud processing, and Neural Radiance Fields (NeRFs).

  • Visual Odometry (VO)
  • Visual Inertial Odometry (VIO
  • Deep VIO
  • Simultaneous Localization and Mapping (SLAM)
Waitlist

Modern Control & RL

From MPC (Model Predictive Control) to End-to-End Reinforcement Learning on real hardware.

  • Model Predictive Control
  • Sim2Real Transfer
  • Dynamics Modeling
"We don't want to create more software engineers who dabble in robots in the era of AI. We want to create architects of autonomy."
Elliot
Founder & Lead Engineer
ROS 2
Ubuntu
NVIDIA