[HTML][HTML] Active haptic perception in robots: a review
In the past few years a new scenario for robot-based applications has emerged. Service and
mobile robots have opened new market niches. Also, new frameworks for shop-floor robot …
mobile robots have opened new market niches. Also, new frameworks for shop-floor robot …
Coarse-to-fine UAV target tracking with deep reinforcement learning
W Zhang, K Song, X Rong, Y Li - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The aspect ratio of a target changes frequently during an unmanned aerial vehicle (UAV)
tracking task, which makes the aerial tracking very challenging. Traditional trackers struggle …
tracking task, which makes the aerial tracking very challenging. Traditional trackers struggle …
From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor
Deep learning has the potential to have same the impact on robot touch as it has had on
robot vision. Optical tactile sensors act as a bridge between the subjects by allowing …
robot vision. Optical tactile sensors act as a bridge between the subjects by allowing …
Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors
U Martinez-Hernandez, AA Dehghani-Sanij - Neural Networks, 2018 - Elsevier
In this paper, a novel approach for recognition of walking activities and gait events with
wearable sensors is presented. This approach, called adaptive Bayesian inference system …
wearable sensors is presented. This approach, called adaptive Bayesian inference system …
Exploratory tactile servoing with active touch
NF Lepora, K Aquilina… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
A key unsolved problem in tactile robotics is how to combine tactile perception and control to
interact robustly and intelligently with the surroundings. Here, we focus on a prototypical task …
interact robustly and intelligently with the surroundings. Here, we focus on a prototypical task …
Pose-and-shear-based tactile servoing
Tactile servoing is an important technique because it enables robots to manipulate objects
with precision and accuracy while adapting to changes in their environments in real-time …
with precision and accuracy while adapting to changes in their environments in real-time …
Simultaneous Bayesian recognition of locomotion and gait phases with wearable sensors
U Martinez-Hernandez, I Mahmood… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
Recognition of movement is a crucial process to assist humans in activities of daily living,
such as walking. In this work, a high-level method for the simultaneous recognition of …
such as walking. In this work, a high-level method for the simultaneous recognition of …
[HTML][HTML] Human-in-the-loop layered architecture for control of a wearable ankle–foot robot
U Martinez-Hernandez, S Firouzy, P Mehryar… - Robotics and …, 2023 - Elsevier
Intelligent wearable robotics is a promising approach for the development of devices that
can interact with people and assist them in daily activities. This work presents a novel …
can interact with people and assist them in daily activities. This work presents a novel …
A tactile-based framework for active object learning and discrimination using multimodal robotic skin
In this letter, we propose a complete probabilistic tactile-based framework to enable robots
to autonomously explore unknown workspaces and recognize objects based on their …
to autonomously explore unknown workspaces and recognize objects based on their …
AM-SGCN: Tactile object recognition for adaptive multichannel spiking graph convolutional neural networks
In recent years, event-driven tactile data learning and event-driven spiking neural network
(SNN) characteristics have provided new methods for tactile event perception. However, it is …
(SNN) characteristics have provided new methods for tactile event perception. However, it is …