Review of machine learning methods in soft robotics
Soft robots have been extensively researched due to their flexible, deformable, and adaptive
characteristics. However, compared to rigid robots, soft robots have issues in modeling …
characteristics. However, compared to rigid robots, soft robots have issues in modeling …
[HTML][HTML] Gaussian process regression for forward and inverse kinematics of a soft robotic arm
The use of soft robotics to perform tasks and interact with the environment requires good
system identification. Data-driven methods offer a promising alternative where traditional …
system identification. Data-driven methods offer a promising alternative where traditional …
Learning to grasp without seeing
Can a robot grasp an unknown object without seeing it? In this paper, we present a tactile-
sensing based approach to this challenging problem of grasping novel objects without prior …
sensing based approach to this challenging problem of grasping novel objects without prior …
Multi-domain fusion deep graph convolution neural network for EEG emotion recognition
J Bi, F Wang, X Yan, J Ping, Y Wen - Neural Computing and Applications, 2022 - Springer
Electroencephalogram (EEG)-based emotion recognition has become a hot research field,
with the most attention given to decoding three basic types of emotional states (ie, positive …
with the most attention given to decoding three basic types of emotional states (ie, positive …
Vibrotouch: Active tactile sensor for contact detection and force sensing via vibrations
Accurate and fast contact detection between a robot manipulator and objects is crucial for
safe robot–object and human–robot interactions. Traditional collision detection techniques …
safe robot–object and human–robot interactions. Traditional collision detection techniques …
Grasp stability assessment through the fusion of proprioception and tactile signals using convolutional neural networks
J Kwiatkowski, D Cockburn… - 2017 IEEE/RSJ …, 2017 - ieeexplore.ieee.org
The growing demand in industry for robots capable of performing a variety of tasks requires
an increased capability in robotic grasping. Humans are adept at interacting with novel …
an increased capability in robotic grasping. Humans are adept at interacting with novel …
A highly sensitive multimodal capacitive tactile sensor
A Maslyczyk, JP Roberge… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
As technology develops, manufacture process becomes more and more automated using
robots. There is demand for high performance tactile sensor which can support robotic …
robots. There is demand for high performance tactile sensor which can support robotic …
[HTML][HTML] 柔性触觉传感技术及其在医疗康复机器人的应用
程龙， 刘泽宇 - 控制与决策, 2022 - kzyjc.alljournals.cn
柔性触觉传感器易于贴合皮肤等不规则表面, 相比刚性传感器具有更强的信号感知能力,
更高的精度和更佳的穿戴舒适性, 在人机交互, 医疗设备, 可穿戴设备, 健康监测等领域发挥着 …
更高的精度和更佳的穿戴舒适性, 在人机交互, 医疗设备, 可穿戴设备, 健康监测等领域发挥着 …
A dynamic pole motion approach for control of nonlinear hybrid soft legs: A preliminary study
Hybrid soft leg systems have been studied for advanced gaits of soft robots. However, it is
challenging to analyze and control hybrid soft legs due to their nonlinearity. In this study, we …
challenging to analyze and control hybrid soft legs due to their nonlinearity. In this study, we …
Grasp stability assessment through unsupervised feature learning of tactile images
D Cockbum, JP Roberge, A Maslyczyk… - … on Robotics and …, 2017 - ieeexplore.ieee.org
Grasping tasks have always been challenging for robots, despite recent innovations in
vision-based algorithms and object-specific training. If robots are to match human abilities …
vision-based algorithms and object-specific training. If robots are to match human abilities …