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Topic Review
Point Set Registration
In computer vision, pattern recognition, and robotics, point set registration, also known as point cloud registration or scan matching, is the process of finding a spatial transformation (e.g., scaling, rotation and translation) that aligns two point clouds. The purpose of finding such a transformation includes merging multiple data sets into a globally consistent model (or coordinate frame), and mapping a new measurement to a known data set to identify features or to estimate its pose. Raw 3D point cloud data are typically obtained from Lidars and RGB-D cameras. 3D point clouds can also be generated from computer vision algorithms such as triangulation, bundle adjustment, and more recently, monocular image depth estimation using deep learning. For 2D point set registration used in image processing and feature-based image registration, a point set may be 2D pixel coordinates obtained by feature extraction from an image, for example corner detection. Point cloud registration has extensive applications in autonomous driving, motion estimation and 3D reconstruction, object detection and pose estimation, robotic manipulation, simultaneous localization and mapping (SLAM), panorama stitching, virtual and augmented reality, and medical imaging. As a special case, registration of two point sets that only differ by a 3D rotation (i.e., there is no scaling and translation), is called the Wahba Problem and also related to the orthogonal procrustes problem.
  • 1.8K
  • 19 Oct 2022
Topic Review
Five Senses plus One of Robotics
Robots can be equipped with a range of senses to allow them to perceive and interact with the world in a more natural and intuitive way. These senses can include vision, hearing, touch, smell, and taste. Vision allows the robot to see and recognize objects and navigate its environment. Hearing enables the robot to recognize sounds and respond to vocal commands. Touch allows the robot to perceive information about the texture, shape, and temperature of objects through the sense of touch. Smell enables the robot to recognize and classify different odors. Taste enables the robot to identify the chemical composition of materials. The specific senses used in a robot will depend on the needs of the application, and many robots use a combination of different senses to perceive and interact with the environment.
  • 1.7K
  • 15 Jun 2023
Topic Review
Socially Assistive Robots
Socially assistive robots (SARs) have been used to help to mitigate the effects of the pandemic on older adults, including loneliness and isolation, and to alleviate the workload of both formal and informal caregivers. We identify the specific applications of SARs during the pandemic to help the older population and their caregivers. The robots all have multimodal communication abilities, and were able to perform multiple functions, including: (1) health monitoring (routinely checking vital signs and alerting healthcare professionals of any abnormalities), (2) screening of visitors (checking for masks and measuring temperature upon entering facilities), (3) social facilitation (enabling video communication between residents and families or healthcare staff), (4) activity facilitation (singing, dancing), (5) providing information and reminders for tasks (weather and food menu, scheduled activities), and (6) cognitive and physical training activities (memory games, exercises). Physical characteristics of the robots are outlined, including: height, presence of touchscreen tablet, facial recognition, natural language processing.
  • 1.7K
  • 28 Sep 2021
Topic Review
Educational Robotics
Educational Robotics arose, developed, and flourished at the crossroads of educational science and computer science to serve and contribute to both scientific fields. The research questions raised through Educational Robotics, implemented by activities designed by the theory of constructionism, concentrate on the creation of computational thinking skills, collaborative learning, and project-based learning, taking into account the social nature of the student-robot relationship. Programming skills, sequencing, scripting, and algorithmic thinking are the primary goals of ER. Furthermore, as an essential branch of educational technology, the ER area of study improves conventional teaching methods' quality and efficacy while also introducing pedagogical changes to enhance education.
  • 1.6K
  • 16 Apr 2021
Topic Review
Soft Exoskeletons
The present entry is oriented to the studies of the last decade and covers the upper and lower joints, specifically the shoulder, elbow, wrist, hand, hip, knee, and ankle. Its functionality, applicability, and main characteristics are exposed, such as degrees of freedom, force, actuators, power transmission methods, control systems, and sensors. 
  • 1.6K
  • 10 Aug 2021
Topic Review
Anomaly Detection in Autonomous Robotic Missions
An anomaly in autonomous robotic missions (ARM) is a deviation from the expected behaviour, performance, or state of the robotic system and its environment, which may impact the mission’s objectives, safety, or efficiency; and this anomaly can be caused either by system faults or the change in the environmental dynamics of interaction. The nuanced understanding of anomaly categories facilitates a more strategic approach, ensuring that detection methods are more effective in addressing the specific nature of the anomaly.
  • 1.6K
  • 11 Mar 2024
Topic Review
Effectiveness of Driving Simulators for Drivers’ Training
Although driving simulators could be commonly assumed as very useful technological resources for both novel and experienced drivers’ instruction under risk control settings, the evidence addressing their actual effectiveness seems substantially limited. Therefore, researchers aimed to analyze the existing original literature on driving simulators as a tool for driver training/instruction, considering study features, their quality, and the established degree of effectiveness of simulators for these purposes. Among a considerably reduced set of original research studies assessing the effectiveness of driving simulators for training purposes, most sources assessing the issue provided reasonably good insights into their value for improving human-based road safety under risk control settings. On the other hand, there are common limitations which stand out, such as the use of very limited research samples, infrequent follow-up of the training outcomes, and reduced information about the limitations targeted during the simulator-based training processes. Despite the key shortcomings highlighted here, studies have commonly provided empirical support on the training value of simulators, as well as endorsed the need for further evaluations of their effectiveness.
  • 1.6K
  • 28 Apr 2023
Topic Review
Human-Robot Interaction
As in human–human interaction, several modalities can be used at once in human-robot interaction in social contexts. Vision, eye gaze, verbal dialogue, touch, and gestures are examples of modalities that can be used herein. In a social context, the intelligence that a robot display depends on the modalities it uses and each modality can have specific importance and effect on the human side of the interaction which translates into the degree of trust that the robot has. Moreover, the acceptance of robots in social interaction depends on their ability to express emotions and they require a proper design of emotional expressions to improve their likability and believability as multimodal interaction can enhance the engagement
  • 1.6K
  • 04 Aug 2022
Topic Review
Fruit and Vegetable Harvesting Robots
Intelligent agriculture imposes higher requirements on the recognition and localization of fruit and vegetable picking robots. Due to its unique visual information and relatively low hardware cost, machine vision is widely applied in the recognition and localization of fruit and vegetable picking robots.  Visual sensors are used to acquire image information and the three-dimensional positioning of targets. Machine vision algorithms are used for target recognition. Common algorithms include image segmentation, object detection, and three-dimensional reconstruction. Image segmentation algorithms can segment target objects in complex scenes, object detection algorithms can timely detect target objects and other interferences in images, while three-dimensional reconstruction algorithms can convert the two-dimensional image information obtained by the camera into three-dimensional spatial information of the target.
  • 1.5K
  • 26 Sep 2023
Topic Review
Voting-Based Leader-Election Scheme in Lead-Follow UAV Swarm
The recent advances in unmanned aerial vehicles (UAVs) enormously improve their utility and expand their application scope. The UAV and swarm implementation further prevail in Smart City practices with the aid of edge computing and urban Internet of Things. The lead–follow formation in UAV swarm is an important organization means and has been adopted in diverse exercises, for its efficiency and ease of control. The reliability of centralization makes the entire swarm system in risk of collapse and instability, if a fatal fault incident happens in the leader. Researchers propose a voting-based leader election scheme inspired by the Raft method in distributed computation consensus to build a mechanism helping the distributed swarm recover from possible failures.
  • 1.5K
  • 15 Aug 2022
Topic Review
3D Printed Nonlinear Musculoskeletal Actuator
A nature-inspired musculoskeletal-actuator system is developed using 3d printing for robotic applications. The actuator resembles the rigid segments and the soft-rigid interaction architecture found in limbless vertebrates such as snakes. The rigid segments provide an increase in the range of motion while maintaining structural durability and stability. The soft-rigid interactions provided a remarkable increase in energy transmission and storage, which enhanced the reliability of the musculoskeletal-actuator. Additionally, passive structural stiffness and damping control are achieved. Similar to a muscular system, our musculoskeletal-actuator is capable of increasing its stiffness and damping up to 100% and 60%, respectively, upon load lifting.
  • 1.4K
  • 28 Mar 2022
Topic Review
NASA Robots
NASA (National Aeronautics and Space Administration) robots are robotic devices used to aid, augment, or substitute for astronauts in order to do difficult or rote tasks such as repairs in dangerous environments (such as those with radiation or micrometeorite risks), routine procedures (video capture), etc.
  • 1.4K
  • 20 Oct 2022
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. 
  • 1.3K
  • 12 Apr 2022
Topic Review
Robotic Platform for Horticulture
The modern level of development of infocommunication and computer technologies, microprocessor technology and equipment, communication and positioning makes possible the development and practical application of automated and robotic technologies and technical means to improve the efficiency of agricultural production. Currently, intensive horticulture is becoming increasingly widespread due to rapid fruiting and high yield rates. At the same time, the process of harvesting apples in intensive horticulture is the most time-consuming, and harvesting is carried out mainly by a team of pickers. In the production process of cultivating fruit crops, this is an important final stage which requires the development of automated devices and robotic platforms with a control system capable of offline harvesting.
  • 1.3K
  • 02 Dec 2022
Topic Review
Active SLAM
Here presents a comprehensive review of Active Simultaneous Localization and Mapping (A-SLAM) research conducted over the past. It explores the formulation, applications, and methodologies employed in A-SLAM, particularly in trajectory generation and control action selection, drawing on concepts from Information Theory (IT) and the Theory of Optimal Experimental Design (TOED). The entry includes both qualitative and quantitative analyses of various approaches, deployment scenarios, configurations, path planning methods, and utility functions within A-SLAM research.
  • 1.3K
  • 17 Oct 2023
Topic Review
Urban Scene Reconstruction via Neural Radiance Fields
3D reconstruction of urban scenes is an important research topic in remote sensing. Neural Radiance Fields (NeRFs) offer an efficient solution for both structure recovery and novel view synthesis. The realistic 3D urban models generated by NeRFs have potential future applications in simulation for autonomous driving, as well as in Augmented and Virtual Reality (AR/VR) experiences.
  • 1.3K
  • 10 Nov 2023
Topic Review
A Cyber-Physical System for Wildfire Detection and Firefighting
The increasing frequency and severity of forest fires necessitate early detection and rapid response to mitigate their impact. This project aims to design a cyber-physical system for early detection and rapid response to forest fires using advanced technologies. The system incorporates Internet of Things sensors and autonomous unmanned aerial and ground vehicles controlled by the robot operating system. An IoT-based wildfire detection node continuously monitors environmental conditions, enabling early fire detection. Upon fire detection, a UAV autonomously surveys the area to precisely locate the fire and can deploy an extinguishing payload or provide data for decision-making. The UAV communicates the fire's precise location to a collaborative UGV, which autonomously reaches the designated area to support ground-based firefighters. The CPS includes a ground control station with web-based dashboards for real-time monitoring of system parameters and telemetry data from UAVs and UGVs. The real-time fire detection capabilities of the proposed system are demonstrated using simulated forest fire scenarios. The objective is to provide a practical approach using open-source technologies for early detection and extinguishing of forest fires, with potential applications in various industries, surveillance, and precision agriculture.
  • 1.3K
  • 26 Jul 2023
Topic Review
Vision-Based Robotic Applications
Being an emerging technology, robotic manipulation has encountered tremendous advancements due to technological developments starting from using sensors to artificial intelligence. Over the decades, robotic manipulation has advanced in terms of the versatility and flexibility of mobile robot platforms. Thus, robots are now capable of interacting with the world around them. To interact with the real world, robots require various sensory inputs from their surroundings, and the use of vision is rapidly increasing, as vision is unquestionably a rich source of information for a robotic system.
  • 1.3K
  • 08 Jan 2023
Topic Review
Selecting Suitable Battery Technologies for Untethered Robots
Energy storage is one of the major barriers to achieve long-duration autonomy in robots. This entry evaluates the capabilities of relevant battery technologies, taking into consideration the requirements of different applications in robotics. We also discuss additional technologies that can be used to overcome the inherent limitations of the most common battery chemistries.
  • 1.2K
  • 10 Jul 2023
Topic Review
Underwater Soft Robotics
Underwater exploration, much like space exploration, has been at the frontier of science and engineering ventures. Some of the early robotic systems sent by humans to explore marine life are known as remotely operated vehicles (ROVs).  ROVs are underwater robots, manually operated by a pilot, using tethered communication. Soft robots made from compliant materials can achieve shrinking and bending motion that allow them to navigate within narrow areas. The ability of soft robots to deform, change their shapes, exhibit infinite degrees of freedom, and perform complex motion, makes them a suitable candidate for the basis of biological emulation, especially that of underwater creatures, which are one of the sources of biomimetic inspiration for robotic and engineering systems.
  • 1.2K
  • 09 Feb 2022
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