Actualités Unitree Robots - 22 juin 2026

Un créateur a construit un robot humanoïde à 16 DOF utilisant des servos abordables et des pièces imprimées en 3D, travaillant sur la locomotion bipède.

This draw io diagram summarizes the perception pipeline I'm building for robotic object localization: - Capture real RGB-D data with an eye-in-hand camera setup. - Bootstrap a small labeled dataset - Fine-tune a YOLO-Seg model - Generate assisted labels for additional real captures - Compose synthetic RGB-D views using masks, depth, camera intrinsics and in-painted backgrounds. - Retrain the segmentation model with the expanded dataset - Input 2D masks, classes and confidences into 3D using depth and camera intrinsics - Extract 3D object localization outputs usable for robotic tasks

L'auteur décrit un projet personnel de simulation en Python impliquant un SLAM Lidar, avec un robot faisant tourner un capteur et recevant des données de distance, montrant des problèmes de précision à différentes distances.

Unlike previous editions of IROS/ICRA, there seems to be no IEEE RAS travel grant on the IROS 2026 website this time, the only grant available is the IES-SYPA grant for upto 15 people. Is this not really less compared to any previous editions? submitted by /u/sarthaxbeatz [link] [comments]