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ENTITY RGB-D Visual Simultaneous Localization and Mapping (SLAM) Application

RGB-D Visual Simultaneous Localization and Mapping (SLAM) Application

PulseAugur coverage of RGB-D Visual Simultaneous Localization and Mapping (SLAM) Application — every cluster mentioning RGB-D Visual Simultaneous Localization and Mapping (SLAM) Application across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_18874 ·

    VLM pipeline enables viewpoint-agnostic grasping for robots with partial observations

    Researchers have developed a new end-to-end pipeline for language-guided grasping that enhances the robustness of mobile manipulators in cluttered environments. This system uses visual-language models (VLMs) and partial…

  2. RESEARCH · CL_11801 ·

    CLAMP framework uses contrastive learning for 3D robotic manipulation pretraining

    Researchers have developed CLAMP, a new pre-training framework for robotic manipulation that leverages 3D multi-view image data and robot actions. CLAMP uses contrastive learning on simulated trajectories to associate g…

  3. RESEARCH · CL_14094 ·

    Robotic grippers use AI-powered visual sensing for precise force estimation

    Researchers have developed a novel model-based system for estimating grasp forces in robotic grippers using visual feedback from RGB-D cameras. This approach integrates iterative contact localization with an inverse fin…

  4. RESEARCH · CL_06587 ·

    FunRec reconstructs interactive 3D scenes from egocentric videos

    Researchers have developed FunRec, a novel method for creating interactive 3D digital twins of indoor environments from egocentric RGB-D videos. This approach operates on unconstrained human interaction sequences, autom…

  5. RESEARCH · CL_05098 ·

    ViFiCon uses self-supervised learning for vision-wireless association

    Researchers have developed ViFiCon, a novel self-supervised contrastive learning method that establishes associations between visual data and wireless signals. The system utilizes pedestrian data from RGB-D cameras and …