Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mabel M. Zhang"'
Autor:
Duane Davis, Michael McCarrin, Brian Bingham, Andy Racson, Woen-Sug Choi, Carson Vogt, Mabel M. Zhang, Jessica Herman, Derek R. Olson
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI
Frontiers in Robotics and AI
17 USC 105 interim-entered record; under review. The article of record as published may be found at https://doi.org/10.3389/frobt.2021.706646 One of the key distinguishing aspects of underwater manipulation tasks is the perception challenges of the o
Autor:
Mabel M. Zhang
Publikováno v:
ROSCon Macau 2019.
Publikováno v:
IROS
We introduce a novel approach to shape-based object classification and recognition through the use of a continuum manipulator. Noticing the fact that when a continuum manipulator wraps around an object in a whole-arm grasping, its own shape is indica
Publikováno v:
IROS
This paper considers the problem of active object recognition using touch only. The focus is on adaptively selecting a sequence of wrist poses that achieves accurate recognition by enclosure grasps. It seeks to minimize the number of touches and maxi
Publikováno v:
IROS
We present a new descriptor for tactile 3D object classification. It is invariant to object movement and simple to construct, using only the relative geometry of points on the object surface. We demonstrate successful classification of 185 objects in
Publikováno v:
CVPR Workshops
The development of fully autonomous seafaring vessels has enormous implications to the world's global supply chain and militaries. To obey international marine traffic regulations, these vessels must be equipped with machine vision systems that can c
Autor:
Samarth Brahmbhatt, Matthieu Lecce, Kostas Daniilidis, Menglong Zhu, Cody J. Phillips, Mabel M. Zhang, Konstantinos G. Derpanis, Yinfei Yang
Publikováno v:
ICRA
We present a novel approach for detecting objects and estimating their 3D pose in single images of cluttered scenes. Objects are given in terms of 3D models without accompanying texture cues. A deformable parts-based model is trained on clusters of s
Publikováno v:
Advances in Visual Computing ISBN: 9783642240300
ISVC (2)
ISVC (2)
All existing video conferencing systems which support more than two sites and more than one user at each site suffer from directional ambiguity: not only is it generally impossible for two remote users to look each other in the eyes, but even just ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b872b134eb8c2be143dfc12791206d15
https://doi.org/10.1007/978-3-642-24031-7_3
https://doi.org/10.1007/978-3-642-24031-7_3
Autor:
Linda G. Shapiro, David A. Lytle, Thomas G. Dietterich, Andrew R. Moldenke, Natalia Larios, Mabel M. Zhang, Lin Junyuan
Publikováno v:
WACV
The combination of local features, complementary feature types, and relative position information has been successfully applied to many object-class recognition tasks. Stacking is a common classification approach that combines the results from multip
Autor:
Carvalho, L. E., von Wangenheim, A.
Publikováno v:
Pattern Analysis & Applications; Nov2019, Vol. 22 Issue 4, p1243-1292, 50p