Abstract: To plan and execute robotics tasks, 3D scene perception and understanding are critical for robots to interact with complex environments effectively. Traditional systems often rely on closed ...

Engineers at Carnegie Mellon University, Stanford University, University of Pennsylvania, and the Massachusetts Institute of Technology have collaborated with SkyWater Technology, the largest ...

Scientists have produced the most detailed 3D map of almost all buildings in the world. The map, called GlobalBuildingAtlas, combines satellite imagery and machine learning to generate 3D models for ...

Abstract: Current robotic cellular layout planning predominantly focuses on 2D configurations, often neglecting the spatial constraints imposed by manipulated objects and robotic tasks, which can lead ...