Vision-based holistic scene understanding towards proactive human–robot collaboration
Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …
personalization in manufacturing owing to the potential to fully exploit the strength of human …
Review of bioinspired vision-tactile fusion perception (VTFP): From humans to humanoids
Humanoid robots are designed and expected to resemble humans in structure and
behavior, showing increasing application potentials in various fields. Like their biological …
behavior, showing increasing application potentials in various fields. Like their biological …
[图书][B] Strategic communication and AI: Public relations with intelligent user interfaces
S Moore, R Hübscher - 2021 - taylorfrancis.com
This concise text provides an accessible introduction to artificial intelligence and intelligent
user interfaces (IUIs) and how they are at the heart of a communication revolution for …
user interfaces (IUIs) and how they are at the heart of a communication revolution for …
Multimodal Error Correction with Natural Language and Pointing Gestures
Error correction is crucial in human-computer interaction, as it can provide supervision for
incrementally learning artificial intelligence. If a system maps entities like objects or persons …
incrementally learning artificial intelligence. If a system maps entities like objects or persons …
An incremental learning model for mobile robot: From short-term memory to long-term memory
D Wang, K Yang, L Liu, H Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
During the environmental cognition, how to realize the efficient incremental learning of a
mobile robot is a great challenge. The existing methods suffer from the low efficiency. This …
mobile robot is a great challenge. The existing methods suffer from the low efficiency. This …
[HTML][HTML] A Self-Adaptive Gallery Construction Method for Open-World Person Re-Identification
Person re-identification, or simply re-id, is the task of identifying again a person who has
been seen in the past by a perception system. Multiple robotic applications, such as tracking …
been seen in the past by a perception system. Multiple robotic applications, such as tracking …
A new hybrid incremental learning system for an enhanced KNN algorithm (hoKNN)
S Madi, AR Baba-Ali - Evolving Systems, 2024 - Springer
Abstract K Nearest Neighbor (KNN) is a robust incremental supervised learning algorithm. It
has the best training and incremental learning time over all other classification algorithms …
has the best training and incremental learning time over all other classification algorithms …
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
Zero-shot fault diagnosis (ZSFD) is capable of identifying unseen faults via predicting fault
attributes labeled by human experts. We first recognize the demand of ZSFD to deal with …
attributes labeled by human experts. We first recognize the demand of ZSFD to deal with …
Supervisory System for a Collaborative Robotic Cell Based on RGBD Camera
G Wu, L Pak, M Shereuzhev, V Serebrenny - International Conference on …, 2022 - Springer
The task of supervision in a collaborative robotic system is an important issue. Supervisory
system is primarily necessary for the organization of safe human-robot interaction. In this …
system is primarily necessary for the organization of safe human-robot interaction. In this …
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments
S Matsuzakil, H Masuzawa… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This paper describes a method of online refinement of a scene recognition model for robot
navigation considering traversable plants, flexible plant parts which a robot can push aside …
navigation considering traversable plants, flexible plant parts which a robot can push aside …