Results 41 to 50 of about 365,547 (358)
Frontiers in Systems Neuroscience, 2021 We previously reported that rhesus monkeys recover spontaneous use of the more impaired (contralesional) hand following neurosurgical lesions to the arm/hand representations of primary motor cortex (M1) and lateral premotor cortex (LPMC) (F2 lesion) when
Warren G. Darling +5 more
doaj +1 more source
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach [PDF]
Robotics: Science and Systems Conference, 2018 This paper presents a real-time, object-independent grasp synthesis method which can be used for closed-loop grasping. Our proposed Generative Grasping Convolutional Neural Network (GG-CNN) predicts the quality and pose of grasps at every pixel. This one-
D. Morrison, Peter Corke, J. Leitner
semanticscholar +1 more source
Journal of Neurophysiology, 2011 When observing someone else acting on an object, people implement goal-specific eye movement programs that are driven by their own motor representation of the observed action. Usually, however, we observe people acting in contexts where more objects, different in shape and size, are present.
AMBROSINI, ETTORE +2 more
openaire +3 more sources
Sensors, 2021 Enriched environments and tools are believed to promote grasp rehabilitation after stroke. We designed S2, an interactive grasp rehabilitation system consisting of smart objects, custom orthoses for selective grasp constraining, and an electrode array ...
Andrea Crema +18 more
doaj +1 more source
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions [PDF]
Computer Vision and Pattern Recognition, 2021 We introduce the dynamic grasp synthesis task: given an object with a known 6D pose and a grasp reference, our goal is to generate motions that move the object to a target 6D pose.
S. Christen +5 more
semanticscholar +1 more source
Sample Efficient Grasp Learning Using Equivariant Models [PDF]
Robotics: Science and Systems Conference, 2022 In planar grasp detection, the goal is to learn a function from an image of a scene onto a set of feasible grasp poses in $\mathrm{SE}(2)$. In this paper, we recognize that the optimal grasp function is $\mathrm{SE}(2)$-equivariant and can be modeled ...
Xu Zhu +5 more
semanticscholar +1 more source
European Journal of Physics, 2015 We revisit the treatment of identical particles in quantum mechanics. Two kinds of solutions of Schrödinger equation are found and analyzed. First, the known symmetrized and antisymmetrized eigenfunctions. We examine how the very concept of particle is blurred whithin this approach. Second, we propose another kind of solution with no symmetries that we
Seglar, Pere, Pérez, Enric
openaire +2 more sources
Physical Therapy Korea, 2022 Background: It is known that hand strength and fingertip force are used as an indicator of muscle strength and are also highly related to the various chronic symptoms and even lifespan.
Jisun Hwang, Jae Sun Ree, Seonhong Hwang
doaj +1 more source
Adopting GRASP to solve a novel model for bus timetabling problem with minimum transfer and fruitless waiting times [PDF]
AUT Journal of Mathematics and Computing, 2020 This paper addresses a variant of bus timetabling problem assuming that travel times changes dynamically over the planning horizon. In addition to minimizing the transfer waiting time, another objective, namely minimizing the fruitless waiting time, is ...
Javad Zamani Kafshani +2 more
doaj +1 more source
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation [PDF]
IEEE International Conference on Robotics and Automation, 2020 We introduce ACRONYM, a dataset for robot grasp planning based on physics simulation. The dataset contains 17.7M parallel-jaw grasps, spanning 8872 objects from 262 different categories, each labeled with the grasp result obtained from a physics ...
Clemens Eppner, A. Mousavian, D. Fox
semanticscholar +1 more source