Figure 2: A 3D model of a tiger, rendered to an image and drawn with stroke primitives. in real-time at 15 frames per second, including the rendering of the.
Non-photorealistic rendering often requires placing drawing primitives onto a 2D canvas in such a way that the resulting tone approximates that of a ...
May 25, 2023 · The method, named "PRobabilistically-Informed Motion Primitives (PRIMP)", learns the probability distribution of the end effector trajectories ...
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Using Probabilistic Movement Primitives in Robotics. 5 we have one task per primitive. ... Schaal, S.: Dynamical movement primitives: learning at- tractor models ...
Apr 13, 2024 · MATLAB implementation of PRobabilistically-Informed Motion Primitives, a learning-from-demonstration method on Lie group.
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Jun 12, 2021 · Probabilistic Movement Primitives is a probabilistic formulation of MPs that maintains a distribution over trajectories. Such a distribution ...
Apr 16, 2024 · The method, named PRobabilistically-Informed Motion Primitives (PRIMP), learns the probability distribution of the end effector trajectories in ...
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Apr 9, 2024 · The proposed learning-from-demonstration method, named “PRobabilistically- Informed Motion Primitives (PRIMP)”, captures motion features by ...
Mar 8, 2022 · To this end, Probabilistic Movement Primitives (ProMPs) have shown to be a promising framework to learn generalizable trajectory generators from ...
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We present a novel approach to motion planning for autonomous ground vehicles by formulating motion primitives as probabilistic distributions of trajectories.
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