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A review of robotic grasp detection technology

Robotica (Cambridge. Print), 2023
In order to complete many complex operations and attain more general-purpose utility, robotic grasp is a necessary skill to master. As the most common essential action of robots in factory and daily life environments, robotic autonomous grasping has a ...
Minglun Dong, Jian Zhang
semanticscholar   +1 more source

Grasp as You Say: Language-guided Dexterous Grasp Generation

Neural Information Processing Systems
This paper explores a novel task"Dexterous Grasp as You Say"(DexGYS), enabling robots to perform dexterous grasping based on human commands expressed in natural language.
Yi-Lin Wei   +7 more
semanticscholar   +1 more source

SemGrasp: Semantic Grasp Generation via Language Aligned Discretization

European Conference on Computer Vision
Generating natural human grasps necessitates consideration of not just object geometry but also semantic information. Solely depending on object shape for grasp generation confines the applications of prior methods in downstream tasks.
Kailin Li   +4 more
semanticscholar   +1 more source

High-Performance Pixel-Level Grasp Detection Based on Adaptive Grasping and Grasp-Aware Network

IEEE transactions on industrial electronics (1982. Print), 2022
Machine vision-based planar grasping detection is challenging due to uncertainty about object shape, pose, size, etc. Previous methods mostly focus on predicting discrete gripper configurations, and may miss some ground-truth grasp postures.
Dexin Wang   +4 more
semanticscholar   +1 more source

The neuroscience of grasping

Nature Reviews Neuroscience, 2005
People have always been fascinated by the exquisite precision and flexibility of the human hand. When hand meets object, we confront the overlapping worlds of sensorimotor and cognitive functions. We reach for objects, grasp and lift them, manipulate them and use them to act on other objects. This review examines one of these actions--grasping.
openaire   +3 more sources

The Geometry of Grasping

The International Journal of Robotics Research, 1990
A form closure (or complete restraint) of a solid object is a finite set of wrenches (force-moment combinations) applied on the object, with the property that any other wrench acting on the object can be balanced by a positive combination of the original ones.
Xanthippi Markenscoff   +2 more
openaire   +1 more source

Slip Detection for Grasp Stabilization With a Multifingered Tactile Robot Hand

IEEE Transactions on robotics, 2021
Tactile sensing is used by humans when grasping to prevent us dropping objects. One key facet of tactile sensing is slip detection, which allows a gripper to know when a grasp is failing and take action to prevent an object being dropped.
J. James, N. Lepora
semanticscholar   +1 more source

Feeling by grasping

Proceedings. 1984 IEEE International Conference on Robotics and Automation, 2005
This paper specifies constraints based on the geometry of the grasped object, on geometry of the hand and the kinematics of the constrained object which determine how to grasp an object.
Ruzena Bajcsy   +2 more
openaire   +1 more source

Grasping the Torch

IEEE Pervasive Computing, 2006
New Editor in Chief Roy Want, "grasping the torch" Mahadev Satyanarayanan handed to him, outlines the magazine's mission, offers a taste of things to come, and reveals his resolutions.
openaire   +1 more source

Grasping numbers

Experimental Brain Research, 2008
Both theoretical and empirical studies suggest that numerical processing is intimately linked to representations of goal-directed hand actions. Further evidence for this possibility is provided here by the results of two experiments, both of which revealed a powerful influence of numerical magnitude on the selection of hand grasping movements.
MORETTO, GIOVANNA   +1 more
openaire   +2 more sources

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