AINewsnow

GUARD: Geometric Uncertainty-Aware Point Cloud Denoising and Segmentation for Robotic Hard Disk Drive Disassembly

arXiv:2610.09068v1 Announce Type: new Abstract: Reliable robotic disassembly requires part-level representations that distinguish genuine component geometry from scanning and reconstruction artifacts. In point clouds of hard disk drives (HDDs), structured ghost artifacts can resemble valid componen…

Read the full story at arXiv cs.CV ↗

Timeline · 1 report

  1. 2026-10-08 04:00 · arXiv cs.CV
    GUARD: Geometric Uncertainty-Aware Point Cloud Denoising and Segmentation for Robotic Hard Disk Drive Disassembly

More stories

  1. Introducing Claude Haiku 5.5 on AWS — AWS Machine Learning Blog
  2. Introducing Mistral Large 4 — Mistral AI News
  3. GPT-6 and Intelligent UI for everyone — OpenAI News
  4. Mistral Says Its New AI Model ‘Le Chonk’ Is the Best Open-Weight Offering Outside of China — Wired AI
  5. Sharing AI progress in mathematics — OpenAI News
  6. NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents — NVIDIA Blog
  7. Introducing Playground: Create and play custom games — Google AI Blog
  8. OpenAI Decisions API now available on AI Gateway — Vercel Blog

Get the daily brief of stories like this at 6:30 every morning →