Vision-based holistic scene understanding towards proactive human–robot collaboration

J Fan, P Zheng, S Li - Robotics and Computer-Integrated Manufacturing, 2022 - Elsevier
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 …

Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey

T Wang, P Zheng, S Li, L Wang - Advanced Intelligent Systems, 2024 - Wiley Online Library
Human–robot interaction (HRI) has escalated in notability in recent years, and multimodal
communication and control strategies are necessitated to guarantee a secure, efficient, and …

[HTML][HTML] An adaptive reinforcement learning-based multimodal data fusion framework for human–robot confrontation gaming

W Qi, H Fan, HR Karimi, H Su - Neural Networks, 2023 - Elsevier
Playing games between humans and robots have become a widespread human–robot
confrontation (HRC) application. Although many approaches were proposed to enhance the …

An improved localization of mobile robotic system based on AMCL algorithm

MA Chung, CW Lin - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
In the Mobile Robotics domain, the ability of robots to locate themselves is one of the most
important events. By locating, mobile robots can obtain information about the environment …

Lightweight hybrid model based on MobileNet-v2 and Vision Transformer for human–robot interaction

X Cheng, F Lu, Y Liu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Within convolutional neural networks, convolutional operations are good at extracting local
features, but have difficulty in capturing global representations. For Vision Transformer, multi …

[PDF][PDF] Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review.

B Omarov, S Narynov… - Computers, Materials & …, 2023 - cdn.techscience.cn
Clinical applications of Artificial Intelligence (AI) for mental health care have experienced a
meteoric rise in the past few years. AI-enabled chatbot software and applications have been …

Sign Language Recognition With Self-Learning Fusion Model

HN Vu, T Hoang, C Tran, C Pham - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Sign language recognition (SLR) is the task of recognizing human actions that represent the
language, which is not only helpful for deaf–mute people but also a means for human …

Underwater accompanying robot based on ssdlite gesture recognition

T Liu, Y Zhu, K Wu, F Yuan - Applied Sciences, 2022 - mdpi.com
Underwater robots are often used in marine exploration and development to assist divers in
underwater tasks. However, the underwater robots on the market have some problems, such …

Millimeter wave gesture recognition using multi-feature fusion models in complex scenes

Z Hao, Z Sun, F Li, R Wang, J Peng - Scientific Reports, 2024 - nature.com
As a form of body language, the gesture plays an important role in smart homes, game
interactions, and sign language communication, etc. The gesture recognition methods have …

[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives

G Amprimo, G Masi, G Olmo, C Ferraris - Artificial Intelligence in Medicine, 2024 - Elsevier
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …