Certified grasping by Aceituno-Cabezas, Bernardo, Ballester, Jose, Rodriguez, Alberto

“…This paper studies the robustness of grasping in the frictionless plane from a geometric perspective. …”
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The uniqueness trap by Flyvbjerg, B, Budzier, A, Christodoulou, MD, Zottoli, M

Robotic perception and grasp in unstructured environments by Dong, Huixu

“…Perception and grasp are crucial capabilities for robots to perform desired services in unstructured environments. …”
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Adaptative grasp planning for manipulation of micro-objects by Li, Jiuyun

“…To overcome the limitations of manual grasping, automatic grasping techniques for micro-objects are developed by controlling the formation of the trapped microbeads. …”
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Object grasping of humanoid robot based on YOLO by Tian, Li, Thalmann, Nadia Magnenat, Thalmann, Daniel, Fang, Zhiwen, Zheng, Jianmin

“…This paper presents a system that aims to achieve autonomous grasping for micro-controller based humanoid robots such as the Inmoov robot [1]. …”
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Development of robotic grasping of object detection model by Koh, Aloysius Jun Jie

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Beckett's trilogy: the trap of consciousness. by Chiang, Michelle Hui Ling

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Learning based-gripper design, grasping and robot manipulation by Foo, Ryan

“…The aim of the project is to learn grasping and manipulation skills for soft objects like fruits or leafy vegetables for indoor farming applications.…”
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Object recognition and pose estimation in robotic grasping system by Zhou, Jiadong

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Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…The factorization method is used to associate tracks into object-level groups, with common motion. The outcome is that separate parts of an object that are not simultaneously visible (such as the front and back of a car, or the front and side of a face) are associated together. …”

Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…<p>We describe a method for automatically associating image patches from frames of a movie shot into object-level groups. The method employs both the appearance and motion of the patches.…”

Group learning : the impact of group personality and psychological safety on group performance. by Chiang, Jing Ying., Tan, Feng Ying., Yeo, Si Xian.

“…The formation of permanent and temporary work groups in the employment landscape has resulted in higher education institutions incorporating intensive group learning in their curriculum. …”
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Fast ellipse detection via gradient information for robotic manipulation of cylindrical objects by Dong, Huixu, Sun, Guangbin, Pang, Wee-Ching, Asadi, Ehsan, Prasad, Dilip Kumar, Chen, I-Ming

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Geometric grouping of repeated elements within images by Schaffalitzky, F, Zisserman, A

“…These image transformations provide powerful grouping constraints, and can be used at the heart of hypothesize and verify grouping algorithms. …”

Travel vaccination mapping application (VacMAP) by Goh, Chun Yi

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Trapped photoelectrons during spacecraft charging in sunlight by Cahoy, K., Lai, S. T.

“…Differential charging of spacecraft surfaces can trap low-energy electrons by means of potential wells and barriers. …”
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Parallel-Jaw Gripper and Grasp Co-Optimization for Sets of Planar Objects by Jiang, Rebecca H., Doshi, Neel, Gondhalekar, Ravi, Rodriguez, Alberto

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Myristoylation restricts orientation of the GRASP domain on membranes and promotes membrane tethering by Heinrich, Frank, Nanda, Hirsh, Goh, Haw Zan, Bachert, Collin, Lösche, Mathias, Linstedt, Adam D.

“…To test the hypothesis that myristoylation of the self-interacting GRASP domain restricts its orientation on the membrane to favor trans pairing, we established an in vitro assay that recapitulates GRASP-dependent membrane tethering and used neutron reflection under similar conditions to determine the orientation of the GRASP domain. …”
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An Artificial Intelligence-Based Industry Peer Grouping System by Bonne, George, Lo, Andrew W, Prabhakaran, Abilash, Siah, Kien Wei, Singh, Manish, Wang, Xinxin, Zangari, Peter, Zhang, Howard

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Planar grouping for automatic detection of vanishing lines and points by Schaffalitzky, F, Zisserman, A

“…We describe the geometry of three commonly occurring types of geometric grouping and present efficient grouping algorithms, which exploit these geometries. …”