Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

A research team led by Waterloo Engineering has developed a faster, cheaper way to create large-scale, three-dimensional (3D) ...

Together with his former doctoral student Kenneth Atz, Prof Schneider developed an algorithm that uses AI to design new active pharmaceutical ingredients. For any protein with a known three ...

Abstract: This article proposes an efficient 3D object detection algorithm for LiDAR point clouds in the field of autonomous driving. Currently, despite significant performance improvements in 3D ...

Abstract: 3D object detection play a pivotal role in various applications, such as autonomous driving and environmental perception. However, the challenging task of detecting targets (e.g., vehicles ...

Imagine designing a 3D-printed object that not only looks like wood, stone, or fabric—but also feels like it. Thanks to a new tool developed at MIT, this is now possible. The system, called ...

They developed a more efficient 3D mapping approach that could significantly reduce the computational burden on autonomous mobile robots. The new algorithm (DFLIOM) is up to 57 percent less ...

Raft3D is a distributed 3D printer control system built to leverage the Raft consensus algorithm for ensuring fault tolerance, consistency, and high availability in a network of 3D printers. The ...