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Topic Review
AR for Human–Robot Collaboration/Cooperation in Industrial Applications
Augmented reality (AR): overlays virtual objects on the real-world environment and also provides the ability to interact with that environment. AR is any case in which an otherwise real environment is “augmented” by means of virtual (computer graphic) objects. With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human–robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human–robot collaborative and cooperative industrial applications. 
  • 641
  • 12 Apr 2022
Topic Review
Architecture of Dima System
One of the most recent manifestations of avionics system is Distributed Integrated Modular Avionics (DIMA).  The study of DIMA architecture is essential when considering two levels of mappings, that is (1) software modules to hardware components, and (2) hardware components to installation locations. This entry describes the hierarchical design of DIMA, including system layer, hardware layer and installation layer that are linked with a group of constraints and quality measures.
  • 1.8K
  • 26 Apr 2020
Topic Review
Artificial Downwelling
A technology that uses artificial methods to make sea water flow from top to bottom. The upper oxygen-rich water can be sent to the bottom hypoxic zone to alleviate marine environmental problems.
  • 1.1K
  • 30 Oct 2020
Topic Review
Artificial Intelligence for Smart Grids in Smart Manufacturing
Smart manufacturing is not only beneficial to optimize product manufacturing processes with minimum costs, but also conducts product life cycle management to reduce energy consumption. Sustainable and smart manufacturing involves improving the efficiency and environmental sustainability of various manufacturing operations such as resource allocation, data collecting and monitoring, and process control. 
  • 424
  • 04 Dec 2023
Topic Review
Artificial Intelligence in Hepatic Venous Pressure Gradient Diagnosis
Portal hypertension is a complex medical condition characterized by elevated blood pressure in the portal venous system. The conventional diagnosis of such disease often involves invasive procedures such as liver biopsy, endoscopy, or imaging techniques with contrast agents, which can be uncomfortable for patients and carry inherent risks. Deep neural networks can serve as useful auxiliary diagnostic tools, aiding healthcare professionals in making timely and accurate decisions for patients suspected of having portal hypertension.
  • 107
  • 24 Nov 2023
Topic Review
Artificial Intelligence in Safe Marine Environment
This research presents a combination of remote sensing, an artificial neural network, and game theory to synthesize a system for safe ship traffic management at sea. Serial data transmission from the ARPA anti-collision radar system are used to enable computer support of the navigator’s maneuvering decisions in situations where a large number of ships must be passed.
  • 255
  • 10 Jan 2023
Topic Review
Assessment of Computer Vision-Based Construction Progress Monitoring Process
The progress monitoring (PM) of construction projects is an essential aspect of project control that enables the stakeholders to make timely decisions to ensure successful project delivery, but ongoing practices are largely manual and document-centric. However, the integration of technologically advanced tools into construction practices has shown the potential to automate construction PM (CPM) using real-time data collection, analysis, and visualization for effective and timely decision making. CPM entails periodically measuring the on-site progress and comparing the data with a planned schedule to get the actual status of a construction project. Traditional CPM practices involve manual data collection, which requires human intervention and hence are slow, error-prone, and labor-intensive. To overcome these issues, various automated CPM processes have been proposed. These processes include but are not limited to the use of enhanced information, geospatial, and imaging technologies. The imaging technologies comprise photogrammetry, videogrammetry, laser scanning, and range imaging. Laser scanning is a promising tool for as-built DAQ due to its accuracy; however, it requires expensive equipment, is technically complex, and requires experts to capture, model, and manipulate data for meaningful interpretations. An alternate technique is CV-based technology, which comprises photogrammetry, videogrammetry, and range images. The CV-based CPM comprises four sub-processes: data acquisition (DAQ), information retrieval, progress estimation, and output visualization. Each process involves various methods and techniques to achieve the desired output posing several benefits and limitations.
  • 641
  • 05 Aug 2022
Topic Review
Augmented Reality Based Distant Maintenance Approach
Augmented Reality (AR) is a technology that overlays virtual objects onto the real world, enabling operators to visualize and interact with virtual objects in real-time.
  • 202
  • 03 Aug 2023
Topic Review
Autonomous Navigation
Autonomous navigation is a very important area in the huge domain of mobile autonomous vehicles.  Sensor integration is a key concept that is critical to the successful implementation of navigation.  As part of this publication, we review the integration of Laser sensors like LiDAR with vision sensors like cameras.  The past decade, has witnessed a surge in the application of sensor integration as part of smart-autonomous mobility systems. Such systems can be used in various areas of life like safe mobility for the disabled, disinfecting hospitals post Corona virus treatments, driver-less vehicles, sanitizing public areas, smart systems to detect deformation of road surfaces, to name a handful.  These smart systems are dependent on accurate sensor information in order to function optimally. This information may be from a single sensor or a suite of sensors with the same or different modalities. We review various types of sensors, their data, and the need for integration of the data with each other to output the best data for the task at hand, which in this case is autonomous navigation. In order to obtain such accurate data, we need to have optimal technology to read the sensor data, process the data, eliminate or at least reduce the noise and then use the data for the required tasks. We present a survey of the current data processing techniques that implement integration of multimodal data from different types of sensors like LiDAR that use light scan technology, various types of Red Green Blue (RGB) cameras that use optical technology and review the efficiency of using fused data from multiple sensors rather than a single sensor in autonomous navigation tasks like mapping, obstacle detection, and avoidance or localization. This survey will provide sensor information to researchers who intend to accomplish the task of motion control of a robot and detail the use of LiDAR and cameras to accomplish robot navigation
  • 4.2K
  • 30 Oct 2020
Topic Review
Autonomous Vehicle and Adverse Weather Conditions
The development of autonomous vehicles (AVs) is becoming increasingly important as the need for reliable and safe transportation grows. However, in order to achieve level 5 autonomy, it is crucial that such AVs can navigate through complex and unconventional scenarios. It has been observed that currently deployed AVs, like human drivers, struggle the most in cases of adverse weather conditions, unsignalized intersections, crosswalks, roundabouts, and near-accident scenarios.
  • 261
  • 06 Jul 2023
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