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Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Diffusion-based generative models have recently emerged as powerful solutions for high-quality synthesis in multiple domains.
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators
To continuously generate trajectories for serial manipulators with high dimensional degrees of freedom (DOF) in the dynamic environment, a real-time optimal trajectory generation method based on machine learning aiming at high dimensional inputs is presented in this paper.
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