Lead-attributable cardiovascular disease burden
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Mar-2026 11:17 ET (30-Mar-2026 15:17 GMT/UTC)
Grasping and transporting objects is one of the most critical tasks for robots in a variety of fields. This task requires accurate 3D measurement of the objects. However, transparent or specular objects make measurement challenging, reducing grasping success rate. To address this, researchers have developed HEAPGrasp, a new technique that performs 3D measurement of objects using only their silhouettes, thus avoiding dependence on their optical properties. This approach significantly improves grasping success rate of robots.