Manipulator and object tracking for in-hand 3D object modeling

By Michael Krainin, Peter Henry, Xiaofeng Ren, Dieter Fox. 2011

199 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering, Geology

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Citations in the corpus

Learning human activities and object affordances from RGB-D videos (2012, background): “1b; Rosman and Ramamoorthy, 2011; Anand et al., 2012), developing frameworks for object recognition and pose estimation for manipulation (Collet et al., 2011), object tracking for 3D object modeling (Krainin et al., 2011), etc. Robots are now becoming more integrated in human environments and are be”
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments (2012, methodology): “We direct the reader to Krainin et al. (2011) for more details of our surfel implementation.”
Online Object and Task Learning via Human Robot Interaction (2018, methodology): “In [3] a method was proposed that tracks the object and a robotic manipulator, while constructing a 3D model for the object based on surfels.”
RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments (2010, methodology): “As more point clouds are added to the surfel representation, we follow rules similar to those of [22] and [17] for updating, adding, and removing surfels.”
Combined shape, appearance and silhouette for simultaneous manipulator and object tracking (2012, background): “One of the most recent and comprehensive studies of object and manipulator pose estimation has been done by Krainin et al. [17], who estimate both the object's pose and the joint angles of the manipulator for the application of object modeling.”
Autonomously Acquiring Instance-Based Object Models from Experience (2015, background): “Existing approaches for autonomously learning 3D object models often rely on expensive iterative closest point-based methods to localize objects, which are susceptible to local minima and take time to converge [17].”
OctoMap: an efficient probabilistic 3D mapping framework based on octrees (2013, methodology): “, 2010) and object modeling (Weise et al., 2009; Krainin et al., 2011).”