A survey of methods and strategies for high-precision robotic gras** and assembly tasks—Some new trends
Gras** and assembly are essential tasks in high-precision robotic manipulation for
industrial manufacturing as well as for home service applications. Many efforts have been …
industrial manufacturing as well as for home service applications. Many efforts have been …
CNN-based methods for object recognition with high-resolution tactile sensors
JM Gandarias, AJ Garcia-Cerezo… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Novel high-resolution pressure-sensor arrays allow treating pressure readings as standard
images. Computer vision algorithms and methods such as convolutional neural networks …
images. Computer vision algorithms and methods such as convolutional neural networks …
PR-FCM: a polynomial regression-based fuzzy C-means algorithm for attribute-associated data
Partitioning data into internally homogeneous parts is an important problem when mining in
situ engineering data. In this paper, a polynomial regression-based fuzzy c-means (PR …
situ engineering data. In this paper, a polynomial regression-based fuzzy c-means (PR …
A panoramic survey on gras** research trends and topics
Gras** and object manipulation is a key element of intelligent behavior. Many innovative
cyberphysical systems involve some kind of object grasp and manipulation, to the extent that …
cyberphysical systems involve some kind of object grasp and manipulation, to the extent that …
Robot recognizing humans intention and interacting with humans based on a multi-task model combining ST-GCN-LSTM model and YOLO model
C Liu, X Li, Q Li, Y Xue, H Liu, Y Gao - Neurocomputing, 2021 - Elsevier
It is hoped that the robot could interact with the human when the robots help us in our daily
lives. And understanding humans' specific intention is the first crucial task for human-robot …
lives. And understanding humans' specific intention is the first crucial task for human-robot …
Memory-efficient learning of stable linear dynamical systems for prediction and control
G Mamakoukas, O Xherija… - Advances in Neural …, 2020 - proceedings.neurips.cc
Abstract Learning a stable Linear Dynamical System (LDS) from data involves creating
models that both minimize reconstruction error and enforce stability of the learned …
models that both minimize reconstruction error and enforce stability of the learned …
Target classification method of tactile perception data with deep learning
In order to improve the accuracy of manipulator operation, it is necessary to install a tactile
sensor on the manipulator to obtain tactile information and accurately classify a target …
sensor on the manipulator to obtain tactile information and accurately classify a target …
Multiple-surface-approximation-based FCM with interval memberships for bias correction and segmentation of brain MRI
Z Liu, X Bai, H Liu, Y Zhang - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
Fuzzy c-means (FCM) is a popular clustering method for image segmentation. However,
FCM has difficulties in handling artifacts in brain magnetic resonance imaging (MRI) …
FCM has difficulties in handling artifacts in brain magnetic resonance imaging (MRI) …
[Retracted] Matching Subsequence Music Retrieval in a Software Integration Environment
Z Li, Q Yao, W Ma - Complexity, 2021 - Wiley Online Library
This paper firstly introduces the basic knowledge of music, proposes the detailed design of a
music retrieval system based on the knowledge of music, and analyzes the feature …
music retrieval system based on the knowledge of music, and analyzes the feature …
Color theme--based aesthetic enhancement algorithm to emulate the human perception of beauty in photos
Fine Art Photography is one of the most popular art forms, which creates lasting impressions
that elicit various human emotional reactions. Photo aesthetic enhancement aims at …
that elicit various human emotional reactions. Photo aesthetic enhancement aims at …