#point-cloud

2 articles

01 ·Time Series·★ MEMBER·PAPER·8 min read Paper Walkthrough: PointWAM — Forecasting the Scene and the Hands as 3D Point Trajectories to Teach Robot Hands from Human Video PointWAM splits the world into scene points and hand keypoints, forecasts where both will move in one shared 3D frame, then converts the hand forecast into robot actions. Pre-trained on 1.15M human-video episodes, it lifts average DexJoCo success from 12.1% to 69.0%. A from-scratch walkthrough grounded in the paper. 02 ·Paper Deep-Dives·★ MEMBER·PAPER·14 min read Paper Walkthrough: CosmoH2G — Transferring a Human Hand's Flips and Rotations to a Two-Finger Gripper Turning a video of a human hand into a two-finger gripper motion has mostly worked for flat, simple tasks like pushing and placing. CosmoH2G (arXiv:2609.07498) collects 6,189 paired hand–gripper episodes focused on rotations and flips, then fixes the start and end poses before generating the motion in between. A walkthrough grounded only in the paper's text.