Where software meets the physical world
Bridging the gap between digital and physical - from microcontrollers and sensors to robot operating systems and computer vision for autonomous machines.
Progress
Foundation
Intermediate
Sensors & Perception
LiDAR, cameras, IMU, and sensor fusion for robot perception
SLAM
Simultaneous Localization and Mapping for autonomous navigation
Navigation & Path Planning
Nav2 stack, path planning algorithms, and autonomous navigation
Advanced Perception
Feature detection, 3D point clouds, semantic segmentation, and object tracking
Advanced Navigation
Coverage planning, exploration, social navigation, and dynamic obstacles
Advanced
Robot Manipulation
MoveIt2, grasping, pick-and-place, and arm control
Control Systems
PID control, motion control, and classical control theory
Robot Learning
Reinforcement learning, imitation learning, and sim-to-real transfer
Reinforcement Learning Basics
RL fundamentals, Gym environments, and policy learning for robotics
Hardware Interfaces
Real robot integration, sensors, actuators, and embedded systems
Full System Integration
Building complete robot systems from perception to action
Robotics Capstone
Complete autonomous robot project from design to deployment