Intelligent control of multilegged robot smooth motion: a review

Y Zhao, J Wang, G Cao, Y Yuan, X Yao, L Qi - IEEE Access, 2023 - ieeexplore.ieee.org
Motion control is crucial for multilegged robot locomotion and task completion. This study
aims to address the fundamental challenges of inadequate foot tracking and weak leg …

[HTML][HTML] Artificial intelligence techniques for ground fault line selection in power systems: State-of-the-art and research challenges

F Wang, Z Zhang, K Wu, D Jian, Q Chen… - Mathematical …, 2023 - aimspress.com
In modern power systems, efficient ground fault line selection is crucial for maintaining
stability and reliability within distribution networks, especially given the increasing demand …

Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction

Y Li, Q He, D Zhang - Frontiers in Neurorobotics, 2023 - frontiersin.org
Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language
processing (NLP) that aims to extract triplets from comments. Each triplet comprises an …

In-situ enhanced anchor-free deep CNN framework for a high-speed human-machine interaction

SR Bose, VS Kumar, C Sreekar - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract Human-Robot Interaction (HRI) constitutes a demanding research field that
integrates artificial intelligence, informatics, robotics, engineering, and human-machine …

Elicitation of trustworthiness requirements for highly dexterous teleoperation systems with signal latency

J Louca, J Vrublevskis, K Eder… - Frontiers in …, 2023 - frontiersin.org
Introduction Teleoperated robotic manipulators allow us to bring human dexterity and
cognition to hard-to-reach places on Earth and in space. In long-distance teleoperation …

PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation

S Nesteruk, S Illarionova, I Zherebzov, C Traweek… - IEEE …, 2023 - ieeexplore.ieee.org
Increasingly, automation helps to minimize human involvement in many mundane aspects of
life, especially retail. During the pandemic it became clear that shop automation helps not …

COLREGs-compliant unmanned surface vehicles collision avoidance based on improved differential evolution algorithm

Z Xiao, X Lu, J Ning, D Liu - Expert Systems with Applications, 2024 - Elsevier
Unmanned surface vessel (USV) has a wide range of applications in oceanographic
research, resource development, environment detection, and security rescue due to its …

Research on a prediction model of water quality parameters in a marine ranch based on LSTM-BP

H Xu, B Lv, J Chen, L Kou, H Liu, M Liu - Water, 2023 - mdpi.com
Water quality is an important factor affecting marine pasture farming. Water quality
parameters have the characteristics of time series, showing instability and nonlinearity …

Smoking behavior detection algorithm based on YOLOv8-MNC

Z Wang, L Lei, P Shi - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Introduction The detection of smoking behavior is an emerging field faced with challenges in
identifying small, frequently occluded objects like cigarette butts using existing deep …

A deep reinforcement learning system for the allocation of epidemic prevention materials based on DDPG

K Kitchat, MH Lin, HS Chen, MT Sun, K Sakai… - Expert Systems with …, 2024 - Elsevier
COVID-19 has spread rapidly around the world since the end of 2019. Consequently, the
demand for epidemic prevention materials (eg, medical-grade masks) has increased …