An attachment framework for human-robot interaction
Attachment theory is a research area in psychology that has enjoyed decades of successful
study, and has subsequently become explored in realms beyond that of the original infant …
study, and has subsequently become explored in realms beyond that of the original infant …
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
Robotics and Artificial Intelligence (AI) have been inextricably intertwined since their
inception. Today, AI-Robotics systems have become an integral part of our daily lives, from …
inception. Today, AI-Robotics systems have become an integral part of our daily lives, from …
Identification of a specific person using color, height, and gait features for a person following robot
This paper describes a person identification method for mobile service robots using image
and range data. Person identification is a necessary function in order for mobile service …
and range data. Person identification is a necessary function in order for mobile service …
Multi-modal open world user identification
User identification is an essential step in creating a personalised long-term interaction with
robots. This requires learning the users continuously and incrementally, possibly starting …
robots. This requires learning the users continuously and incrementally, possibly starting …
The face detection/recognition, perspective and obstacles in robotic: a review
NMI Uddin, AJ Moshayedi… - … Endorsed Transactions on …, 2022 - publications.eai.eu
Facial recognition research is one of the different types of research in this world today. In
recent years, facial recognition in robots has attracted increased study interest. Robotic …
recent years, facial recognition in robots has attracted increased study interest. Robotic …
Face recognition based on the multi-scale local image structures
This paper proposes a framework of face recognition based on the multi-scale local
structures of the face image. While some basic tools in this framework are inherited from the …
structures of the face image. While some basic tools in this framework are inherited from the …
A comparative study of feature extraction using PCA and LDA for face recognition
Feature extraction is important in face recognition. This paper presents a comparative study
of feature extraction using Principal Component Analysis (PCA) and Linear Discriminant …
of feature extraction using Principal Component Analysis (PCA) and Linear Discriminant …
Feature space-based human face image representation and recognition
We propose a novel face recognition method that represents and classifies face images in
the feature space. It first assumes that in the feature space the test sample can be well …
the feature space. It first assumes that in the feature space the test sample can be well …
Fast face recognition based on Wavelet Transform on PCA
MM Mukhedkar, SB Powalkar - 2015 International Conference …, 2015 - ieeexplore.ieee.org
Today the word is moving towards the globalization in area of biometrics as an individual
identification method. The techniques which are established for an identifying the individual …
identification method. The techniques which are established for an identifying the individual …
Detection and following of moving targets by an indoor mobile robot using microsoft kinect and 2d lidar data
The mobile robot following behavior is frequently considered as an important pre-requisite
while develo** autonomous service robots intended to co-exist with humans in a shared …
while develo** autonomous service robots intended to co-exist with humans in a shared …