Benjamin Eckart


Hometown: Clarksville, TN
Carnegie Mellon University

Ben’s research focuses on the creation of real-time algorithms for robotic perception using machine learning techniques accelerated by parallel algorithms and novel data structures. For systems using high-density 3D range sensing to generate large amounts of point cloud data (such as time-of-flight cameras and structured light sensing), he is exploring ways to use many-core architectures such as the GPU to rapidly create compact models to facilitate and unify common low-level perceptive tasks like point cloud segmentation, registration, and classification.