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Topic Review
Constrained Inverse Kinematics of Minimally Invasive Surgical Robots
Minimally invasive surgery has undergone significant advancements, transforming various surgical procedures by minimizing patient trauma, postoperative pain, and recovery time. However, the use of robotic systems in minimally invasive surgery introduces significant challenges related to the control of the robot’s motion and the accuracy of its movements. In particular, the inverse kinematics (IK) problem is critical for robot-assisted minimally invasive surgery (RMIS), where satisfying the remote center of motion (RCM) constraint is essential to prevent tissue damage at the incision point. 
  • 728
  • 14 Dec 2023
Topic Review
Enabling Technologies in Collaborative Assembly
There is growing interest for manufacturing enterprises to embrace the drivers of the Smart Industry paradigm. Among these drivers, human–robot physical co-manipulation of objects has gained significant interest in the literature on assembly operations. Motivated by the requirement for human dyads between the human and the robot counterpart, the study of task allocation in human-robot collaboration literature shows promising trends for the implementation of ergonomics in collaborative assembly. 
  • 716
  • 28 Mar 2023
Topic Review
Anomaly Detection Algorithms for LAN Failure Prediction
Predicting Local Area Network (LAN) equipment failure is of utmost importance to ensure the uninterrupted operation of modern communication networks. The utilization of machine learning algorithms, specifically decision trees and support vector machines (SVMs), for predicting LAN failures represents a groundbreaking approach in network management.
  • 716
  • 13 Oct 2023
Topic Review
Multi-Modal KG Convolutional Network for Music Recommender Systems
Modern online music services have changed the way people search for and listening to music, offering an extensive array of diverse song catalogues while concurrently enhancing user experiences through personalized optimization. Knowledge graphs (KGs) are a rich source of semantic information for entities and relations, allowing for improved modeling and analysis of entity relations to enhance recommendations.
  • 708
  • 26 Jun 2023
Topic Review
The Model of Functional Safety Protocol
Industry 4.0 has significantly improved the industrial manufacturing scenario in recent years. The Industrial Internet of Things (IIoT) enables the creation of globally interconnected smart factories, where constituent elements seamlessly exchange information. Industry 5.0 has further complemented these achievements, as it focuses on a human-centric approach where humans become part of this network of things, leading to a robust human–machine interaction. In this distributed, dynamic, and highly interconnected environment, functional safety is essential for adequately protecting people and machinery. The increasing availability of wireless networks makes it possible to implement distributed and flexible functional safety systems.
  • 707
  • 11 Oct 2023
Topic Review
Integration of Electric Vehicles in Public Buildings
Electric vehicles (EVs) can provide important flexibility to the integration of local energy generation in buildings. Although most studies considering the integration of EVs and buildings are focused on residential buildings, the number of publications regarding large buildings, in particular, public buildings (PBs), has increased.
  • 700
  • 06 Jul 2023
Topic Review
Line Feature, Vanishing Points and Manhattan World Analysis
In conventional point-line visual inertial odometry systems under indoor environment, consideration of spatial position recovery and line feature classification can improve localization accuracy. A monocular visual inertial odometry based on structured and unstructured line features of vanishing points is proposed. First, degeneracy phenomenon caused by special geometric relationship between epipoles and line features is analyzed in process of triangulation, and a degeneracy detection strategy is designed to determine the location of the epipoles. Then, considering the property that vanishing point and epipole coincide at infinity, vanishing point feature is introduced to solve the degeneracy and direction vector optimization problem of line features. Finally, threshold constraints are used to categorize straight lines into structural and non-structural features under the Manhattan world assumption, and the vanishing point measurement model is added to the sliding window for joint optimization. Comparative tests on the EuRoC and TUM-VI public datasets validated the effectiveness of the proposed method.
  • 699
  • 18 Mar 2024
Topic Review
Particle Swarm Optimization for Single-Rotor Unmanned Aerial Vehicle
A unmanned aerial vehicles (UAVs) is a pilotless aircraft with the ability to fly and stay in a hover state without any human interaction. They are piloted remotely through control commands from a ground station. Particle Swarm Optimization is a global metaheuristic optimization method that belongs to the family of algorithms based on the swarm intelligence concept introduced by Kennedy and Eberhart.
  • 682
  • 22 Sep 2023
Topic Review
Human–Robot Collaboration
The automation of manufacturing applications where humans and robots operate in a shared environment imposes new challenges for presenting the operator’s safety and robot’s efficiency. Common solutions relying on isolating the robots’ workspace from human access during their operation are not applicable for HRI.
  • 674
  • 31 Aug 2023
Topic Review
Blockchain-Based Certificate Authentication for International Food Trade
Maritime transportation plays a critical role for many Arab countries and their food security and has evolved into a complex system that involves a plethora of supply chain stakeholders spread around the globe. This inherent complexity brings huge security challenges, including cargo loss and high burdens in cargo document inspection. The emerging blockchain technology provides a promising tool to build a unified maritime cargo tracking system critical for cargo security. This is because blockchains are a tamper-proof distributed ledger technology that can store and track data in a secure and transparent manner.
  • 660
  • 01 Nov 2023
Topic Review
Learning Compliant Box-in-Box Insertion through Haptic-Based Robotic Teleoperation
In modern logistics, the box-in-box insertion task is representative of a wide range of packaging applications, and automating compliant object insertion is difficult due to challenges in modelling the object deformation during insertion. Using Learning from Demonstration (LfD) paradigms, which are frequently used in robotics to facilitate skill transfer from humans to robots, can be one solution for complex tasks that are difficult to mathematically model. 
  • 649
  • 05 Jan 2024
Topic Review
Capacitance-Based Humidity Sensors
Capacitance-based humidity sensors consist of a moisture-absorbing dielectric material placed between a pair of electrodes that form a small capacitance. Most capacitive sensors use plastic or polymers as the dielectric material with typical dielectric constants ranging from 2 to 15.
  • 649
  • 10 May 2023
Topic Review
Smooth Coverage Path Planning for Unmanned Aerial Vehicles
Within the Industry 4.0 ecosystem, Inspection Robotics is one fundamental technology to speed up monitoring processes and obtain good accuracy and performance of the inspections while avoiding possible safety issues for human personnel. The robotics inspection of areas and surfaces employing Unmanned Aerial Vehicles (UAVs) has become an increasingly popular tool for agriculture. They offer a cost-effective and efficient way to monitor crops, assess crop health, and gather data for precision agriculture. Drones can cover large areas quickly and capture high-resolution images and other types of data that can be analyzed to identify issues and make informed decisions about crop management.
  • 646
  • 01 Jun 2023
Topic Review
Autonomous Vehicle Localization
In a vehicle, wheel speed sensors and inertial measurement units (IMUs) are present onboard, and their raw data can be used for localization estimation. Both wheel sensors and IMUs encounter challenges such as bias and measurement noise, which accumulate as errors over time. Even a slight inaccuracy or minor error can render the localization system unreliable and unusable in a matter of seconds. Traditional algorithms, such as the extended Kalman filter (EKF), have been applied for a long time in non-linear systems. These systems have white noise in both the system and in the estimation model. These approaches require deep knowledge of the non-linear noise characteristics of the sensors. On the other hand, as a subset of artificial intelligence (AI), neural network-based (NN) algorithms do not necessarily have these strict requirements.
  • 646
  • 29 Dec 2023
Topic Review
Distributed Intelligent Battery Management System
For real-world applications, battery management systems (BMSs) can be used in the form of distributed control systems where general controllers, charge regulators, and smart monitors and sensors are integrated, such as those proposed in this work, which allow more precise estimations of a large set of important parameters, such as the state of charge (SOC), state of health (SOH), current, voltage, and temperature, seeking the safety and the extension of the useful life of energy storage systems based on battery banks. 
  • 644
  • 15 Dec 2023
Topic Review
60 GHz Wireless Connectivity for an Automated Warehouse
The fourth industrial revolution, often referred to as industry 4.0, envisions a technological transformation in industries, primarily centered around automated manufacturing. This transformation encompasses automated material handling, facilitated by smart interconnections among components, and the integration of artificial intelligence (AI) into production facilities.
  • 619
  • 22 Sep 2023
Topic Review
Trajectory Prediction of Vehicle–Pedestrian and Vehicle–Pedestrian Interactions
The conflict between pedestrians and vehicles is an important safety issue, not only in the USA but everywhere in the world. This issue is even worse in developing countries. Road accidents claim over 1.3 million lives annually, which translates to more than two lives lost every minute. Shockingly, around ninety percent of these tragedies happen in countries with limited resources. 
  • 590
  • 15 Sep 2023
Topic Review
Exploring the Viability of DAOS in Emerging Economies
In recent years, distributed technologies have garnered significant attention as a model for organizing collective action. Distributed Autonomous Organizations and Systems (DAOS) encompass not only the organizational structure of a Decentralized Autonomous Organization (DAO), but also the collaborative technologies, ecosystems, and social structures necessary for a self-organizing system to emerge. The focus of a DAOS is on the distributed nature of the organization, emphasizing the importance of collaboration and emergence over decentralization. This paper will explore the guiding principles of DAOS, discuss their limitations, and propose experiments to establish a DAOS that enables collective participation in ecological conservation.
  • 583
  • 20 Jun 2023
Topic Review
Intelligent Road Management System for Vehicles
Autonomous vehicles, non-autonomous vehicles, and VIP (emergency) autonomous cars are using intelligent road management techniques to interact with one another and enhance the effectiveness of the traffic system. All sorts of vehicles are managed and under control using the intersection management unit approach. 
  • 581
  • 21 Sep 2023
Topic Review
Intelligent and Collaborative Robotic System
Collaborative robotics represents a modern and efficient framework in which machines can safely interact with humans. Coupled with artificial intelligence (AI) systems, collaborative robots can solve problems that require a certain degree of intelligence not only in industry but also in the entertainment and educational fields.
  • 580
  • 09 Jan 2024
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