<ul><li>Researchers have introduced a new two-stage method for robotic object placement called AnyPlace, which demonstrates the ability to predict feasible placement poses.</li><li>The system uses a vision language model (VLM) to produce potential placement locations, combined with depth-based models for geometric placement prediction.</li><li>The creators of AnyPlace have developed a fully synthetic dataset of 1,489 randomly generated objects, covering insertion, stacking, and hanging.</li><li>The model achieved an 80% success rate on the vial insertion task, showing robustness and generalisation.</li></ul>

New Robotics Method AnyPlace Achieves Object Placement Through VLMs, Synthetic Data

Discover more