Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron …
The objective of this study is to make a comparison of the prediction performance of three
techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural …
techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural …
A review on the effectiveness of machine learning and deep learning algorithms for collaborative robot
More and more, we may expect to see robots working side by side with humans as
technology advances. Collaborative robot (cobot) is a methodology that investigates the …
technology advances. Collaborative robot (cobot) is a methodology that investigates the …
A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
In recent years, application of ensemble models has been increased tremendously in
various types of natural hazard assessment such as landslides and floods. However …
various types of natural hazard assessment such as landslides and floods. However …
Superresolution with an optical tactile sensor
NF Lepora, B Ward-Cherrier - 2015 IEEE/RSJ International …, 2015 - ieeexplore.ieee.org
Although superresolution has been studied to huge impact in visual imaging, it is relatively
unexplored in tactile robotics. Here we demonstrate a novel optical sensor design (the …
unexplored in tactile robotics. Here we demonstrate a novel optical sensor design (the …
Tactile-based active object discrimination and target object search in an unknown workspace
The tasks of exploring unknown workspaces and recognizing objects based on their
physical properties are challenging for autonomous robots. In this paper, we present …
physical properties are challenging for autonomous robots. In this paper, we present …
Active sensorimotor control for tactile exploration
U Martinez-Hernandez, TJ Dodd, MH Evans… - Robotics and …, 2017 - Elsevier
In this paper, we present a novel and robust Bayesian approach for autonomous active
exploration of unknown objects using tactile perception and sensorimotor control. Despite …
exploration of unknown objects using tactile perception and sensorimotor control. Despite …
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 …
Slip classification for dynamic tactile array sensors
B Heyneman, MR Cutkosky - The International Journal of …, 2016 - journals.sagepub.com
The manipulation of objects held in a robotic hand or gripper is accompanied by events such
as making and breaking contact and slippage, between the fingertips and the grasped …
as making and breaking contact and slippage, between the fingertips and the grasped …
Active contour following to explore object shape with robot touch
U Martinez-Hernandez, G Metta… - 2013 World Haptics …, 2013 - ieeexplore.ieee.org
In this work, we present an active tactile perception approach for contour following based on
a probabilistic framework. Tactile data were collected using a biomimetic fingertip sensor …
a probabilistic framework. Tactile data were collected using a biomimetic fingertip sensor …
Tactile discrimination using active whisker sensors
We describe a novel, biomimetic tactile sensing system modeled on the facial whiskers
(vibrissae) of animals such as rats and mice. The “BIOTACT Sensor” consists of a conical …
(vibrissae) of animals such as rats and mice. The “BIOTACT Sensor” consists of a conical …