CNN-based methods for object recognition with high-resolution tactile sensors
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 …
Bayesian and neural inference on lstm-based object recognition from tactile and kinesthetic information
F Pastor, J García-González… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Recent advances in the field of intelligent robotic manipulation pursue providing robotic
hands with touch sensitivity. Haptic perception encompasses the sensing modalities …
hands with touch sensitivity. Haptic perception encompasses the sensing modalities …
Using 3D convolutional neural networks for tactile object recognition with robotic palpation
In this paper, a novel method of active tactile perception based on 3D neural networks and a
high-resolution tactile sensor installed on a robot gripper is presented. A haptic exploratory …
high-resolution tactile sensor installed on a robot gripper is presented. A haptic exploratory …
Eyes gaze detection based on multiprocess of ratio parameters for smart wheelchair menu selection in different screen size
Smart wheelchairs support paralysis disability people, especially paralysis of the hands and
feet. Paralysis disability cannot operate menu selection with a touch screen. This research …
feet. Paralysis disability cannot operate menu selection with a touch screen. This research …
Head movement control of powered wheelchair
This paper presents an efficient method to implement head gesture recognition to be the
base of a framework for the physically disabled people. Currently, the most common way to …
base of a framework for the physically disabled people. Currently, the most common way to …
Use of technology to sustain mobility in older people with cognitive impairment and dementia: a sco** review
Purpose This paper provides a review of studies that evaluated technology devices to
sustain various forms of mobility in older people with cognitive impairment or dementia and …
sustain various forms of mobility in older people with cognitive impairment or dementia and …
Active tactile recognition of deformable objects with 3d convolutional neural networks
In this paper, a new concept of active tactile perception based on deep learning is
presented. A tactile sensor is used to acquire sequences of tactile images of deformable …
presented. A tactile sensor is used to acquire sequences of tactile images of deformable …
Operator-centric joystick map** for intuitive manual operation of differential drive robots
DH Lee - Computers and Electrical Engineering, 2022 - Elsevier
Intuitive joystick-based mobile robot operations are critical in terms of work efficiency in tasks
where humans and robots work closely, such as in smart factories or electric wheelchairs …
where humans and robots work closely, such as in smart factories or electric wheelchairs …
Operability evaluation of manual operation control for force-sensorless power-assist transport cart
R Sato, R Nishida, S Hara, H Okuda, M Nagatsuka… - Mechatronics, 2024 - Elsevier
In large-scale factories and warehouses, power-assisted carts are effective in transporting
cargo to reduce the burden on workers. Herein, we developed a force-sensorless power …
cargo to reduce the burden on workers. Herein, we developed a force-sensorless power …
Analysis of light grip influence on standing posture
Upright posture control and gait are essential for achieving autonomous daily living
activities. Postural control of upright posture relies, among others, on the integration of …
activities. Postural control of upright posture relies, among others, on the integration of …