Robotics
Kinematics, PID control, path planning, and perception.
0/8 complete
- KinematicsTurn joint angles into a position in space — forward kinematics with a two-link arm.medium
- PID ControlThe feedback loop that keeps drones level and motors on target — proportional, integral, derivative.medium
- Path PlanningFind a collision-free route from A to B — grids, configuration space, and sampling methods like RRT.medium
- Perception & SLAMSensors are noisy — how robots estimate where they are and build a map at the same time.hard
- LocalizationEstimate the robot's pose from noisy motion and sensors with Monte Carlo (particle filter) localization.hard
- SLAMBuild a map while localizing within it — occupancy grids, pose uncertainty, and loop closure.hard
- DynamicsBeyond kinematics — forces, torques, mass and inertia, and integrating the equations of motion.hard
- Sensors & NoiseHow robots perceive — encoders, IMUs, LIDAR, and cameras, plus sampling and the noise every reading carries.medium