Abstract: We introduce Reactive Action and Motion Planner (RAMP), which combines the strengths of sampling-based and reactive approaches for motion planning. In essence, RAMP is a hierarchical ...
Abstract: Deep Implicit Functions (DIFs) represent 3D objects continuously using parameterized deep neural networks but struggle with establishing point correspondences across shapes. To address this, ...
We introduce a novel implicit neural representation that allows for flexible tuning of the spectral bias, enhancing signal representation and optimization. 🚀 ...
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