Robotic Systems
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10 lessons3 levels1 capstone project
Engineer integrated robots across mechanics, electronics, sensors/actuators, embedded and real-time software, C++/Python, ROS 2 middleware, perception, localization, SLAM, planning, control, simulation, safety, testing and hardware integration.
BASIC
- Introduction to Robotics (Lecture 1) — MIT (~50 min)
Start with the complete robot as an engineered system: mechanics, sensing, computation, planning and control. - Foundations of Robot Motion — Modern Robotics (~10 min)
Build rigorous intuition for rigid-body motion, frames, transformations and kinematics. - ROS 2 Crash Course (~60 min)
Learn the middleware basics - nodes, topics, services, packages and tooling used in modern robot software.
INTERMEDIATE
- Motion Planning — Modern Robotics
Apply configuration-space planning and collision avoidance to robot behavior. - Robot Control — Modern Robotics
Apply feedback, trajectory tracking and control-system thinking to physical robots. - ROS2 Autonomous Navigation: Mapping, Planning and Execution
Put ROS 2, SLAM, costmaps and planning together as a functioning mobile-robot stack.
ADVANCED
- Wheeled Mobile Robots — Modern Robotics
Architect mobile-robot kinematics, nonholonomic constraints and control. - Camera/Radar Sensor Fusion — NVIDIA DRIVE Labs
Integrate perception and sensor fusion into a robot/autonomy software architecture. - NVIDIA Isaac Sim + ROS 2 in Docker
Build reproducible simulation-to-hardware workflows using ROS 2, containers and accelerated simulation.