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SteinSQP achieves robust and diverse motion planning by ensuring all sampled trajectories are feasible while significantly speeding up convergence compared to traditional methods.
Robots can now achieve superior surface coverage with precise end-effector poses thanks to a new SE(3)-aware Stein Variational Gradient Descent method that outperforms existing trajectory optimization techniques.
