Results 31 to 40 of about 950,534 (288)
Densely Supervised Grasp Detector (DSGD)
, 2019 This paper presents Densely Supervised Grasp Detector (DSGD), a deep learning framework which combines CNN structures with layer-wise feature fusion and produces grasps and their confidence scores at different levels of the image hierarchy (i.e., global-,
Asif, Umar +2 more
core +1 more source
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors [PDF]
, 2019 Tactile sensors provide useful contact data during the interaction with an object which can be used to accurately learn to determine the stability of a grasp.
Garcia-Garcia, Alberto +4 more
core +3 more sources
Frontiers in Human Neuroscience, 2017 The ability to learn motor tasks is important in both healthy and pathological conditions. Measurement tools commonly used to quantify the neurophysiological changes associated with motor training such as transcranial magnetic stimulation and functional ...
Mads Jochumsen +9 more
doaj +1 more source
A Block-Building Based GRASP Method for Solving Container Loading Problem
Advances in Artificial Intelligence Research, 2023 The importance of container transportation is constantly increasing. For this reason, lower cost transportation is of great importance for companies in transportation by air, land, rail and sea in domestic and international markets.
Merve ÖZDEMİR, Tuncay YİĞİT
doaj +1 more source
Safe Robotic Grasping: Minimum Impact-Force Grasp Selection
, 2017 This paper addresses the problem of selecting from a choice of possible grasps, so that impact forces will be minimised if a collision occurs while the robot is moving the grasped object along a post-grasp trajectory.
E., Amir M. Ghalamzan +2 more
core +1 more source
Chained activation of the motor system during language understanding [PDF]
, 2017 Two experiments were carried out to investigate whether and how one important characteristic of the motor system, that is its goal-directed organization in motor chains, is reflected in language processing. This possibility stems from the embodied theory
Borghi, ANNA MARIA +3 more
core +1 more source
New Journal of Physics, 2014 While the physics of equilibrium systems composed of many particles is well known, the interplay between small-scale physics and global properties is still a mystery for athermal systems.
N Vandewalle, S Dorbolo
doaj +1 more source
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping
, 2019 Given the task of learning robotic grasping solely based on a depth camera input and gripper force feedback, we derive a learning algorithm from an applied point of view to significantly reduce the amount of required training data.
Berscheid, Lars +2 more
core +1 more source
Searching force-closure optimal grasps of articulated 2D objects with n links [PDF]
, 2014 This paper proposes a method that finds a locally optimal grasp of an articulated 2D object with n links considering frictionless contacts. The surface of each link of the object is represented by a finite set of points, thus it may have any shape.
Alvarado Tovar, Noé +1 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source