Results for "pose estimation"
Computing joint angles for desired end-effector pose.
Bayesian parameter estimation using the mode of the posterior distribution.
Combines value estimation (critic) with policy learning (actor).
Pixel motion estimation between frames.
Monte Carlo method for state estimation.
Estimating parameters by maximizing likelihood of observed data.
Approximating expectations via random sampling.
Inferring the agent’s internal state from noisy sensor data.