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Other simulators in this category — or see all 45.
Particle Filter Localization (MCL)
1D or 2D toy robot with fixed range beacons: predict with noisy odometry, update with Gaussian range likelihood, systematic resample on low ESS; weighted mean vs ground truth.
EKF SLAM (toy)
Augmented state [x,y,θ, landmarks…]: noisy planar odometry predict, range & bearing updates with known IDs, map–robot covariance coupling; wrong map prior vs ground-truth Lissajous path.
MPC Pendulum Swing-Up (MPPI)
Sampling-based Model Predictive Control: K candidate torque rollouts over horizon H, MPPI cost-weighted update, bounded torque |u|≤u_max — swing up an inverted pendulum live and watch the planner replan.
A* / Dijkstra Pathfinding (Grid)
Interactive 40×28 grid pathfinder: A* (f=g+h), Dijkstra, or greedy best-first; Manhattan / octile / Euclidean heuristics, 4- vs 8-connectivity, paint walls + weighted cells, watch open / closed sets expand.
Minimum Spanning Tree (Prim & Kruskal)
Random planar points, complete Euclidean-weighted graph: step through Prim from a root or Kruskal with union–find; compare total MST weight.
Maze Generators + A* (Grid)
Perfect mazes on the same 40×28 cell lattice as the pathfinding lab: recursive backtracker, Wilson, Eller, or randomized Prim; then solve with Manhattan A* (4-neighbors). Paint walls or erase passages and move S/G.