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Published in 2018 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2018.05.014
Abstract: BACKGROUND Understanding how behaviors are generated by neural circuits requires knowledge of the synaptic connections between the composite neurons. Methods for mapping synaptic connections, such as electron microscopy and paired recordings, are labor intensive and…
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Keywords:
grasp;
grasp assessing;
targeted grasp;
connectivity ... See more keywords
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2
Published in 2022 at "Mechanism and Machine Theory"
DOI: 10.1016/j.mechmachtheory.2021.104524
Abstract: Abstract In this paper, we aim to use a continuous formulation to efficiently calculate the well-known wrench-based grasp metric proposed by Ferrari and Canny which is the minimum distance from the wrench space origin to…
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Keywords:
grasp;
wrench space;
grasp quality;
formulation ... See more keywords
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1
Published in 2022 at "Robotica"
DOI: 10.1017/s0263574722000601
Abstract: Abstract This paper presents a study on the effect of design parameters of an underactuated hand on its grasp performance. Three kinds of grasp performance characteristics are considered: grasp range, grasp strength, and immobilizing grasp…
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Keywords:
immobilizing grasps;
effect;
design parameters;
grasp ... See more keywords
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Published in 2019 at "Nature"
DOI: 10.1038/s41586-019-1234-z
Abstract: Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of force—a challenging set of tasks for a modern robot1. Mechanoreceptor networks that provide sensory feedback…
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Keywords:
grasp;
tactile;
tactile glove;
human grasp ... See more keywords
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0
Published in 2018 at "Advanced Robotics"
DOI: 10.1080/01691864.2018.1509018
Abstract: ABSTRACT Grasping is an essential component for robotic manipulation and has been investigated for decades. Prior work on grasping often assumes that a sufficient amount of training data is available for learning and planning robotic…
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Keywords:
grasp;
reinforcement learning;
multiple grasping;
hierarchical reinforcement ... See more keywords
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1
Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac65b1
Abstract: Objective. Brain–computer interfaces (BCIs) have the potential to bypass damaged neural pathways and restore functionality lost due to injury or disease. Approaches to decoding kinematic information are well documented; however, the decoding of kinetic information…
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Keywords:
force;
kinetic information;
seeg recordings;
grasp ... See more keywords
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1
Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac9e1c
Abstract: Objective. Advanced myoelectric hands enable users to select from multiple functional grasps. Current methods for controlling these hands are unintuitive and require frequent recalibration. This case study assessed the performance of tasks involving grasp selection,…
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Keywords:
intramuscular electrodes;
grasp selection;
task;
grasp ... See more keywords
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1
Published in 2022 at "Cerebral cortex"
DOI: 10.1093/cercor/bhac504
Abstract: Broadly congruent mirror neurons, responding to any grasp movement, and strictly congruent mirror neurons, responding only to specific grasp movements, have been reported in single-cell studies with primates. Delineating grasp properties in humans is essential…
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Keywords:
reach grasp;
mirror;
grasp movements;
grasp ... See more keywords
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1
Published in 2021 at "Assembly Automation"
DOI: 10.1108/aa-11-2020-0180
Abstract: Purpose The purpose of this paper is to achieve stable grasping and dexterous in-hand manipulation, the control of the multi-fingered robotic hand is a difficult problem as the hand has many degrees of freedom with…
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Keywords:
control;
hand;
force;
hand manipulation ... See more keywords
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1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2950535
Abstract: This paper proposes GraspCNN, an approach to grasp detection where a feasible robotic grasp is detected as an oriented diameter circle in RGB image, using a single convolutional neural network. By detecting robotic grasps as…
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Keywords:
oriented diameter;
grasp;
diameter circle;
grasp detection ... See more keywords
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3063074
Abstract: This letter addresses the problem of simultaneously exploring an unknown object to model its shape, using tactile sensors on robotic fingers, while also improving finger placement to optimise grasp stability. In many situations, a robot…
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Keywords:
exploration grasp;
shape;
simultaneous tactile;
tactile exploration ... See more keywords