Robotic Intelligence and Automation: Volume 43 Issue 6

Low-cost AI-based solar panel detection drone design and implementation for solar power systems

Tolga Özer, Ömer Türkmen

This paper aims to design an AI-based drone that can facilitate the complicated and time-intensive control process for detecting healthy and defective solar panels. Today, the use…

The general method of the tanker car mouth pose measurement

Yang Zhou, Long Wang, Yongbin Lai, Xiaolong Wang

The coupling process between the loading mechanism and the tank car mouth is a crucial step in the tank car loading process. The purpose of this paper is to design a method to…

Maximum power tracking strategy of a wind energy conversion system based on resonant with active disturbance rejection control

Lei Xiong, Hongjun Shi, Qixin Zhu

This study aims to construct a novel maximum power tracking control system for the direct drive permanent magnet synchronous generator (PMSG) of the wind energy conversion system…

A review on energy efficiency in autonomous mobile robots

Mingyu Wu, Che Fai Yeong, Eileen Lee Ming Su, William Holderbaum, Chenguang Yang

This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption…

Exploring the role of robotics in Alzheimer’s disease care: innovative methods and applications

Ata Jahangir Moshayedi, Nafiz Md Imtiaz Uddin, Xiaohong Zhang, Mehran Emadi Andani

This paper aims to explore and review the potential of robotic rehabilitation as a treatment approach for Alzheimer’s disease (AD) and its impact on the health and quality of life…

Adaptive neuromuscular control of a simplified muscle tendon-driven musculoskeletal system

Yerui Fan, Yaxiong Wu, Jianbo Yuan

This study aims to improve the muscle model control performance of a tendon-driven musculoskeletal system (TDMS) to overcome disadvantages such as multisegmentation and strong…

A novel multi-layer feature fusion-based BERT-CNN for sentence representation learning and classification

Khaled Hamed Alyoubi, Fahd Saleh Alotaibi, Akhil Kumar, Vishal Gupta, Akashdeep Sharma

The purpose of this paper is to describe a new approach to sentence representation learning leading to text classification using Bidirectional Encoder Representations from…