Robotics sits at the intersection of mechanical engineering, electrical engineering, and computer science. From a single robotic arm assembling circuit boards to a swarm of drones surveying a disaster zone, every robotic system must solve the same core problems: sensing, planning, and actuation. The mathematics of control theory, kinematics, and path planning form the backbone of modern robotics.
These simulations let you tune a PID controller in real time, manipulate a robot arm through inverse kinematics, watch emergent swarm behavior unfold, visualize forward kinematics chains, and compare path-planning algorithms on randomized obstacle maps.