Now showing items 1-4 of 4

    • 3-D Object Segmentation from Motion Cues 

      Herbst, Evan
      In this work we tackle the problem of segmenting rigid objects using various types of motion cues. The setting is that of personal robotics, in which robots generally have cameras and arms, and are capable of manipulating ...
    • Object Recognition and Semantic Scene Labeling for RGB-D Data 

      Lai, Kevin Kar Wai (2014-02-24)
      The availability of RGB-D (Kinect-like) cameras has led to an explosive growth of research on robot perception. RGB-D cameras provide high resolution (640 x 480) synchronized videos of both color (RGB) and depth (D) at 30 ...
    • Talking to Robots: Learning to Ground Human Language in Perception and Execution 

      Matuszek, Cynthia
      Advances in computation, sensing, and hardware are enabling robots to perform an increasing variety of tasks in progressively fewer constraints. It is now possible to imagine robots that can operate in traditionally ...
    • Toward Never-Ending Object Learning for Robots 

      Sun, Yuyin
      A household robot usually works in a complex working environment, where it will continuously see new objects and encounter new concepts in its lifetime. Therefore, being able to learn more objects is crucial for the robot ...