The paper introduces a new method, Diffusion-ES, that combines gradient-free optimization with trajectory denoising to optimize non-differentiable objectives. This method is particularly useful in autonomous driving scenarios. Diffusion-ES samples trajectories…
Continue readingThis academic article introduces a new trajectory optimization strategy for mobile robots navigating in complex dynamic environments. The method generates multiple distinct evasive trajectories, which are then optimized by locally…
Continue readingThis research focuses on trajectory optimization for bipedal locomotion, specifically in scenarios where the robot encounters unforeseen external perturbations. The work presents a task and motion planning framework that generates…
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