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All Topic Review Biography
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. 
  • 356
  • 28 Mar 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.
  • 336
  • 06 Jul 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.
  • 332
  • 01 Jun 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.
  • 325
  • 31 Aug 2023
Topic Review
Knowledge Graph for Disassembly of Electric Vehicle Batteries
End-of-life (EoL) electric vehicle (EV) batteries are one of the main fountainheads for recycling rare metal elements like cobalt and lithium. Disassembly is the first step in carrying out a higher level of recycling and processing of EV batteries. EV battery knowledge graphs can provide detailed structural information to assist operators in understanding the layout and composition of batteries. Planning the disassembly sequence using knowledge graphs can facilitate the robotic disassembly of EV batteries.
  • 324
  • 29 Dec 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.
  • 321
  • 13 Oct 2023
Topic Review
Low-Cost Relative Positioning Methods Based on Visual-LiDAR Fusion
Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) are commonly used for various purposes, and their cooperative systems have been developed to enhance their capabilities.
  • 316
  • 02 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. 
  • 309
  • 05 Jan 2024
Topic Review
Machine Learning for Building Energy Management
Machine learning (ML) algorithms are now part of everyday life, as many technological devices use these algorithms. Machine learning (ML) is now used in many industrial and scientific fields, from aerospace to marketing and advertising. In the architecture, engineering and construction (AEC) sector, ML models and algorithms can be applied to building automation systems (BASs) and building digital twins (BDT) to improve building energy efficiency and flexibility by making use of widely available building operational data. Such systems can automate building management, reducing global consumption of primary resources (i.e., energy and water), increasing indoor comfort, increasing structural safety, and reducing the need for building maintenance. 
  • 308
  • 18 Feb 2024
Topic Review
Hierarchical Understanding in Robotic Manipulation
In the quest for intelligent robots, it is essential to enable them to understand tasks beyond mere manipulation. Achieving this requires a robust parsing mode that can be used to understand human cognition and semantics.
  • 302
  • 31 Jan 2024
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