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Other simulators in this category — or see all 31.
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.
RRT Path Planner (grid)
Same 40×28 wall map as A*: random samples, nearest-neighbor steer, goal bias, collision-checked edges; grow an RRT and compare summary stats with one-click Manhattan A* baseline.
Differential Drive Odometry
ω_L, ω_R → v, ω with two-wheel kinematics; integrate pose and watch dead-reckoning drift from biased wheel radii / track and noisy rate readings.