日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2503.18308

Vision-Guided Loco-Manipulation with a Snake Robot

Vision-Guided Loco-Manipulation with a Snake Robot

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著者: Adarsh Salagame, Sasank Potluri, Keshav Bharadwaj Vaidyanathan, Kruthika Gangaraju, Eric Sihite, Milad Ramezani, Alireza Ramezani

分類: cs.RO

原文アブストラクト

This paper presents the development and integration of a vision-guided loco-manipulation pipeline for Northeastern University's snake robot, COBRA. The system leverages a YOLOv8-based object detection model and depth data from an onboard stereo camera to estimate the 6-DOF pose of target objects in real time. We introduce a framework for autonomous detection and control, enabling closed-loop loco-manipulation for transporting objects to specified goal locations. Additionally, we demonstrate open-loop experiments in which COBRA successfully performs real-time object detection and loco-manipulation tasks.