Remote Control Research Articles

All-Optical Trapping and Programmable Transport of Gold Nanorods with Simultaneous Orientation and Spinning Control.

Gold nanorods (GNRs) are of special interest in nanotechnology and biomedical applications due to their biocompatibility, anisotropic shape, enhanced surface area, and tunable optical properties. The use of GNRs, for example, as sensors and mechanical actuators, relies on the ability to remotely control their orientation as well as their translational and rotational motion, whether individually or in groups. Achieving such particle control by using optical tools is challenging and exceeds the capabilities of conventional laser tweezers. We present a tool that addresses this complex manipulation problem by using a curve-shaped laser trap, enabling the optical capture and programmable transport of single and multiple GNRs along any trajectory. This type of laser trap combines confinement and propulsion optical forces with optical torque to transport the GNRs while simultaneously controlling their rotation (spinning) and orientation. The proposed system facilitates the light-driven control of GNRs and the quantitative characterization of their motion dynamics including transport speed, spinning frequency, orientation, and confinement strength. We experimentally demonstrate that remote control of the GNRs can be achieved both near a substrate surface (2D trapping) and deep within the sample (3D all-optical trapping). The motion dynamics of two sets of off-resonant GNRs, possessing similar aspect ratios but different resonance wavelengths, are analyzed to highlight the role played by their optical and mechanical properties in the optical manipulation process. The experimental results are supported by a theoretical model describing the observed motion dynamics of the GNRs. This optical manipulation tool can significantly facilitate applications of light-driven nanorods.

Human–robot interaction via wearable device—a wireless glove system for remote control of 7-DoF robotic arm

Human–robot interaction via wearable device—a wireless glove system for remote control of 7-DoF robotic arm

Phytic acid-based super antifreeze multifunctional conductive hydrogel for human motion monitoring and energy harvesting devices

Conductive hydrogels have broad application prospects in the field of self-powered sensors and energy harvesting devices due to their good electrical conductivity and flexibility. However, at low temperatures, conductive hydrogels are usually frozen, resulting in problems such as poor electrical conductivity and flexibility, which seriously hinder the application of these fields. To address these challenges, phytic acid (PA) was employed as the crosslinker and antifreezing agent in this study. Polyvinyl alcohol (PVA), 2-acrylamido-2-methyl-1-propanesulfonic acid (AMPS), chitosan (CS), and PA were used as raw materials to successfully synthesize PVA/AMPS/CS/PA (PACP) multifunctional conductive hydrogels with outstanding antifreeze and water retention properties (freezing point below −80 °C, 30-day water loss rate of 3.5%). In addition, PACP hydrogels exhibit exceptional electrical conductivity of up to 9.4 S/m, along with antibacterial and biocompatible properties, enabling their utilization as wearable sensors on human skin tissue. Notably, the PACP hydrogel-based triboelectric nanogenerator (PACP-TENG) excels in accurately monitoring human motion and powering small electronic devices, facilitating remote control of small light switches. The resulting open circuit voltage is as high as 314 V at 25 °C and about 110 V at low temperature. Therefore, PACP hydrogels with excellent properties are expected to expand their applications in these fields.

Remote control of the technical condition of metro trains using seismological tools

As urban road congestion increases and people shift to using the subway, the safety of under-ground transportation becomes a priority. Therefore, it is necessary to establish a monitoring sys-tem for subway trains to detect malfunctions that occur during operation. The article proposes an engineering seismology method for remote monitoring of the technical condition of metro trains based on the analysis of micro seismic vibrations. This method allows remote control of the dynamic parameters of each train and their deviations from the norm. The authors demonstrate how a seismic recorder placed in a building adjacent to a metro station can be used to monitor changes in the amplitude-frequency spectrum of vibro seismic recordings. It is used to determine the arrival and departure times of trains, and it is shown that observations are best made for departures due to their more pronounced signal amplitude. The recorded signal of a metro train should fall within a certain frequency range, which is determined based on its average values, and any deviation of the observed signal spectrum from this norm indicates changes in the train's condition. The proposed approach not only helps improve passenger safety, but also reduces the risk of emergencies associated with technical malfunctions of rolling stock. In the future, it is possible to develop software equipped with a database of statistical data, which will allow even more efficient control of metro operations and prompt response to any deviations, thus ensuring a high level of safety and comfort for passengers.

Investigation of human interaction with an augmented remote operating system for scaling in mining applications

Thanks to the advent of telepresence applications, we can remotely take control and operate industrial machinery. Teleoperation removes operators from hazardous workplaces such as mining and plays an essential role in the safety of workers. In addition, augmented telepresence can introduce information that helps the user understand the remote scene. However, remote operation presents challenges since the information received is more limited than what could be perceived by being physically present, such as accurately judging depth. This study investigates how well operators interact with an augmented remote operation scaling system (AROSS) in a mining context when different computer-generated visual interfaces are provided. The system can achieve five visual interfaces: Disocclusion Augmentation view using selective content removal, Novel Perspective view generation, Lidar view, Right (Original) view, and Left (Original) view. We performed two experiments in a mine-like laboratory to analyze human interaction with the designed prototype by applying a mixed research methodology that used questionnaires, interviews, and observations. This mixed methodology consisted of quality of experience methods to discover the users’ requirements from a technological standpoint and user experience methods (i.e., user-centric approaches). We investigated 10 and 11 users’ interactions in two experimental studies. The first experiment focused on identifying small patterns (e.g., cracks in the mine wall), and the second focused on depth and three-dimensional understanding. We considered the first experiment a feasibility test to understand how to conduct the second experiment. Therefore, we designed the second test to assess the technical readiness of AROSS from the users’ perspective. The overall conclusion yields a comprehensive understanding of users’ perceptions and experiences. The quality of experience results favored Left and Right (Original) views for remote control, indicating a preference among remote operators using natural (Original) views due to their facilitation of environmental comprehension. User experience analysis revealed the reason why other views were less favored and what their potential benefits are. Specifically, Novel Perspective and Lidar views were found helpful for depth perception, and Disocclusion Augmentation view functionality could be enhanced if robot arm position tracking is enabled. These insights inform design recommendations, emphasizing the value of incorporating Disocclusion Augmentation and Novel Perspective views and suggesting improvements to enhance system usability.

3D Visual Grounding-Audio: 3D scene object detection based on audio

3D Visual Grounding (3DVG) is a prevalent multi-modal information fusion task capable of accurately localizing target objects referenced in natural language descriptions within a point cloud scene. Nevertheless, the stringent demands for input and output devices present substantial hurdles for the application and integration of 3DVG in fields like remote robotic control and telemedicine. To address this challenge, we introduce several innovative approaches. Firstly, we have initiated a novel multi-modal task, termed 3D Visual Grounding-Audio (3DVG-Audio), which is based on the fusion of audio and point cloud. To the best of our knowledge, this represents the first instance of an Audio-Point Cloud multi-modal task. 3DVG-Audio achieves precise localization of audio-mentioned objects within the point cloud by utilizing the point cloud in conjunction with the corresponding audio input. Secondly, building upon the ScanRefer, we have developed a novel dataset named 3DVG-AudioSet, specifically designed for the training and evaluation of the 3DVG-Audio method. Finally, we have crafted a tailored loss function to further enhance the performance of 3DVG-Audio and introduced a method named AP-Refer, which serves as a benchmark for the task. Extensive experimental results demonstrate the potential for deep integration of audio and point cloud to tackle complex real-world challenges. AP-Refer has successfully addressed the 3DVG-Audio, circumventing the limitations of conventional 3DVG methods, and exhibits significant application potential.

An Adaptive and Automatic Power Supply Distribution System with Active Landmarks for Autonomous Mobile Robots.

With the development of automation and intelligent technologies, the demand for autonomous mobile robots in the industry has surged to alleviate labor-intensive tasks and mitigate labor shortages. However, conventional industrial mobile robots' route-tracking algorithms typically rely on passive markers, leading to issues such as inflexibility in changing routes and high deployment costs. To address these challenges, this study proposes a novel approach utilizing active landmarks-battery-powered luminous landmarks that enable robots to recognize and adapt to flexible navigation requirements. However, the reliance on batteries necessitates frequent recharging, prompting the development of an automatic power supply system. This system integrates omnidirectional contact electrodes on mobile robots, allowing to recharge active landmarks without precise positional alignment. Despite these advancements, challenges such as the large size of electrodes and non-adaptive battery charging across landmarks persist, affecting system efficiency. To mitigate these issues, this research focuses on miniaturizing active landmarks and optimizing power distribution among landmarks. The experimental results of this study demonstrated the effectiveness of our automatic power supply method and the high accuracy of landmark detection. Our power distribution calculation method can adaptively manage energy distribution, improving the system's persistence by nearly three times. This study aims to enhance the practicality and efficiency of mobile robot remote control systems utilizing active landmarks by simplifying installation processes and extending operational durations with adaptive and automatic power supply distribution.

A smart monitoring and observation framework for aquaponics ecosystem

Aquaponics is a sustainable and efficient agricultural system that integrates aquaculture with agriculture. This system integrates Internet of Things (IoT) technology in aquaponics systems with the potential to change sustainable agriculture by combining farming of fish (aquaculture) and soilless cultivation of plants (hydroponics) into a single, efficient ecosystem. This paper explores the design and development of a smart aquaponics system that allows aquaponic farming at commercial scale feasible, leveraging IoT to continuously gather data through various sensors, monitor environmental conditions, and automate control processes. The proposed system architecture is based on a three-tier model, ensuring scalability and maintainability. The proposed system consists of a three-layer architecture: the Perception Layer for measuring different environmental factors and controlling them, the Network Layer for data transmission, and the Application Layer for data storage, manipulation, and user interaction. The key components include sensors for monitoring pH, humidity, temperature, sunlight, oxygen levels, and water proximity; devices such as lights, water pumps, fans, and oxygen pumps for environmental control; and an ESP8266 microcontroller for system management. The system's software is developed using C# DOT NET CORE 8.0, React, MySQL, C, and Arduino. The system allows users the ability to maintain optimal conditions for fish and plant growth, notify users of irregularities, and allow remote control through a web application, proving it to be an intelligent, flexible, low-cost, and stable solution for large-scale aquaponics.

Remote monitoring of patients with chronic heart failure: A prospective randomized study

BACKGROUND: Chronic heart failure is one of the key problems of the Russian domestic healthcare system. E-health can be used to improve medical care quality and reduce the of hospitalizations and mortality. AIM: To examine the effect of telemedicine monitoring on mortality, frequency of hospitalizations, and clinical and functional states of patients with chronic heart failure. MATERIALS AND METHODS: A prospective, controlled, randomized study was conducted in the Central City Hospital No. 20 in Ekaterinburg (Russia), covering the period from December 2020 to December 2022. Patients with a confirmed diagnosis of chronic heart failure were randomized using the envelope method into three groups: group 1, a telephone control group (n=58); group 2, a remote control group using a Russian medical platform Medsenger (n=52); and group 3, the standard control group (n=103). All patients were examined, including NT-proBNP measurement and echocardiography on the first day of the study and at 3, 6, and 12 months. The occurrence of primary and secondary outcomes was evaluated at these reference points. Stata14 and jamovi software were used for statistical processing. RESULTS: The study involved 213 participants, and all three groups were comparable in terms of basic demographic and clinical characteristics. The advantage of remote control (groups 1 and 2) over face-to-face observation in reducing cardiovascular mortality was observed after 3 (odds ratio 2.73, 95% confidence interval 1.1–7.39; p=0.042) and 12 (odds ratio 2.1, 95% confidence interval 1.1–3.7; p=0.027) months and that in reducing the occurrence of the combined primary endpoint (odds ratio 2.1, 95% confidence interval 1.1–5.6; p=0.015) after 12 months. The use of the Medsenger platform also demonstrated an advantage over face-to-face observation in the development of the combined secondary endpoint (odds ratio 1.39, 95% confidence interval 0.19–0.81; p=0.011) after 3 months and over telephone control by a nurse after 12 months in reducing cardiovascular mortality (odds ratio 0.177, 95% confidence interval 0.06–0.487; p=0.021) and development of the combined secondary endpoint (odds ratio 0.427, 95% confidence interval 0.189–0.964; p=0.041). When using the Medsenger platform, the ejection fraction increased from 47% initially to 55% after 12 months (p=0.004). The NT-proBNP level decreased from 817 to 582 pg/mL (p 0.001) after 3 months and then to 233 pg/mL after 12 months (p 0.001). CONCLUSION: Remote monitoring protocols can be a good alternative to the traditional face-to-face monitoring of patients with chronic heart failure, which may improve clinical and functional health indicators.

Sustainable and Low-Input Techniques in Mediterranean Greenhouse Vegetable Production

In the modern agricultural landscape, numerous challenges, such as climate change, diminishing arable lands, and the reduction of water resources, represent significant threats. The Mediterranean greenhouse farming model relies on low-input strategies to maximize both yield and quality. Its protected horticulture is essential for the year-round cultivation of high-value crops, ensuring efficient and sustainable production. In the realm of future agricultural strategies, leveraging internet-based approaches emerges as a pivotal factor for real-time and remote control of various agricultural parameters crucial for crop growth and development. This approach has the potential to significantly optimize agronomic inputs, thereby enhancing the efficiency of targeted vegetable production. The aim of the present review is to underscore the challenges related to the intensive greenhouse production systems emphasizing various strategies leading to low-input greenhouse vegetable production. The goal is to promote more sustainable and resource-efficient approaches in the cultivation of greenhouse vegetables. This review highlights several key strategies for optimizing the greenhouse environment, including efficient water management through conservation tillage, drainage water reuse, and selecting the most appropriate irrigation systems and timing. Additionally, light modulation and temperature control—using solar energy for heating and pad-and-fan systems for cooling—are crucial for enhancing both crop performance and resource efficiency. The review also explores low-input agronomical strategies, such as pest and disease control—including solarization and optimized integrated pest management (IPM)—as well as fertilization and advanced growing techniques. These approaches are essential for sustainable greenhouse farming.

The innovative vector of technology–based development of shipping companies is autonomous navigation

The article is devoted to the current state of water transport, problems and prospects of its development. Special attention is paid to the innovative vector of development of shipping companies on the basis of technologies - autonomous navigation. The development of the shipping industry on the basis of autonomous navigation opens significant opportunities in the sphere of safety improvement, increase of profit by reducing the costs of maintenance of ship crews. Examples of implementation and use of remote control of a vessel using autonomous navigation means along a socially and economically significant route are given. The article studies the legal acts that came into force in 2024, fixing the legal basis for the creation of autonomous navigation, which gives the opportunity to actively develop this promising direction. It will allow water transport to be competitive, and thus one of the key sectors of the Russian economy to become a pillar for achieving its growth. Based on the study of the materials of the Russian Federation SP in the field of inland water transport development, the factors that will contribute to the efficiency of the implementation of the initiatives of socio-economic development of the Russian Federation until 2030 are proposed.

Innovation in Agriculture Advantages of a Remote Irrigation Monitoring and Control System

Globally, the irrigation of crops is the largest consumptive user of water. Water scarcity is increasing worldwide, resulting in tighter regulation of its use for agriculture. This necessitates the development of irrigation practices that are more efficient in the use of water but do not compromise crop quality and yield. Precision irrigation already achieves this goal, in part. The goal of precision irrigation is to accurately supply the crop water need in a timely manner and as spatially uniformly as possible. However, to maximize the benefits of precision irrigation, additional technologies need to be enabled and incorporated into agriculture. This Search discusses how Advantages of a remote irrigation monitoring and control system irrigation management will enable significant advances in increasing the efficiency of current irrigation approaches. From the literature review, it is found that precision irrigation can be applied in achieving the environmental goals related to sustainability. The demonstrated economic benefits of precision irrigation in field-scale crop production is however minimal. It is argued that a proper combination of soil, plant and weather sensors providing real-time data to an adaptive decision support system provides an innovative platform for improving sustainability in irrigated agriculture. The review also shows that adaptive decision support systems based on model predictive control are able to adequately account for the time-varying nature of the soil–plant–atmosphere system while considering operational limitations and agronomic objectives in arriving at optimal irrigation decisions. It is concluded that significant improvements in crop yield and water savings can be achieved by incorporating model predictive control into precision irrigation decision support tools. Further improvements in water savings can also be realized by including deficit irrigation as part of the overall irrigation management strategy. Nevertheless, future research is needed for identifying crop response to regulated water deficits, developing improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation.

Sterowanie kobotem za pomocą wirtualnej rzeczywistości dla potrzeb Przemysłu 4.0

Industry 4.0 is undergoing continuous evolution. Management and monitoring systems implemented in the industrial infrastructure are able to collect and process more and more data, then, based on dedicated algorithms, make decisions, and consequently send specific control commands to devices and technological processes. At the same time, there is growing interest in combining devices with other seemingly disparate technologies. An example of creating such coexistence is the integration of sensory solutions with virtual reality. Such activities contribute to the creation of digital twins of devices and processes, which in turn enables remote and in many cases automatic control of physical objects and the course of real processes. In the course of this research, such an approach has been used to develop a solution that allows a robot to be controlled from anywhere and at any time. This work presents a prototype of a solution providing remote control of a cobot arm robot.

Metoda pomiaru parametrów kamer termowizyjnych za pomocą zautomatyzowanego stanowiska pomiarowego

To achieve precise and repeatable measurements of thermal camera’s parameters, it is essential to eliminate human error. For this purpose, an automated test bench has been developed that allows fully automatic, semi-automatic and manual control of the measurement process. The designed stand supports remote control via Ethernet interface or USB connection. The developed software enables control, data recording and parameter determination of thermal cameras. The test bench ensures high quality and reliability of thermal measurements, enabling controlled examination of camera characteristics with minimal operator involvement.

Development and Application of a Liquid Sampling Device with Timing, Quantitative and Depth Determination

This thesis describes the development process of a liquid sampling device that can be timed, quantitative, and deep. The structural composition, working principle, and innovative features of the liquid sampling device are introduced, and the application prospects are analyzed. The device has the function of controllable and adjustable sampling point depth and sampling volume, and adopts quantitative collection and collection methods without contact with accessories. The device has a silent function in the sample body, which can realize pre-booking of collection time points and multi-point synchronous collection. Wireless remote control automatic mode is adopted for sending and stopping collection instructions, which can be sent one-to-one or one-to-many at the same time. It provides automation links for water quality monitoring projects and meets the requirements of modern scientific and technological development.

LITERARY REVIEW ON DHARANIYA VEGA IN ASHTANGA HRIDAYA

Ayurveda is the most ancient system of medicine, not just in India but also in the world. It mentioned the corre-lations of body and mind and how our emotions affect our overall health. Vega Dharana is not just about with-holding or letting go of urges but about respecting the body's dynamics and expressions. When we respect them, we receive respect in return in the form of balanced mind-body health. Ashtanga Hridaya Sutrasthana 4th chapter in which Dharaneeya Vegas are explained is named Rogaan Anutpaadaneeya Adhyaya meaning those which do not allow diseases to manifest. In this chapter there is a description of Adharaniya Vega and Dharaniya Vega. Dharaniya Vega1 suggests that if the Vegas are not suppressed, it will turn into mental disorders; to attain the Mansika Swasthya we must suppress these Dharaniya Vega. It also implies that we can either invite or prevent many diseases by ignoring or addressing the body's small expressions, respectively. When the body wants to expel something to protect itself in the long run, just cooperate and allow the body to express itself naturally. The remote control of our health lies in our own hands. All you need to do is use it skill fully. Simply admire and address the body's expressions at the proper time, and you'll find yourself in the best of health. Some Vegas must be suppressed to keep our mind in ideal state.

Self-powered wearable remote control system based on self-adhesive, self-healing, and tough hydrogels

The advent of the fifth-generation mobile communication network era induces a great potential for the design and development of self-powered wearable electronic devices. Hydrogels, as a typical material for flexible electrodes, have been widely employed in self-powered wearable electronic devices. However, the hydrogel-based triboelectric nanogenerator (H-TENG) is usually compromised by the challenges in data collection, operational stability, and manufacturability due to the unstable combination between the friction layer and the electrode layer, the occurrence of hydrogel damage during prolonged operation, and also the difficulty of machining sticky hydrogel electrodes. In the present study, a composite hydrogel composed of acrylamide, crotonyl alcohol, and 4-carboxyphenylboronic acid was synthesized via ultraviolet crosslinking, which was specially developed for H-TENG and wearable wireless remote control interface, featuring with excellent stretchability and mechanical strength as well as self-healing and self-adhesive properties. The open-circuit voltage of the H-TENG prepared with the hydrogel reached up to 165 V, and the output voltage remained almost unchanged following 10,000 cycles of compression test. Additionally, a wearable wireless remote control system was designed that could accurately control the multiple appliances and adjust different working modes using the H-TENG. Consequently, the development of the H-TENG and wearable wireless remote control system has the potential to provide a new methodology for the application of next-generation wearable devices in various areas, such as smart homes, as a representative example.

Multi-receptor skin with highly sensitive tele-perception somatosensory.

The limitations and complexity of traditional noncontact sensors in terms of sensitivity and threshold settings pose great challenges to extend the traditional five human senses. Here, we propose tele-perception to enhance human perception and cognition beyond these conventional noncontact sensors. Our bionic multi-receptor skin employs structured doping of inorganic nanoparticles to enhance the local electric field, coupled with advanced deep learning algorithms, achieving a ΔV/Δd sensitivity of 14.2, surpassing benchmarks. This enables precise remote control of surveillance systems and robotic manipulators. Our long short-term memory-based adaptive pulse identification achieves 99.56% accuracy in material identification with accelerated processing speeds. In addition, we demonstrate the feasibility of using a two-dimensional (2D) sensor matrix to integrate real object scan data into a convolutional neural network to accurately discriminate the shape and material of 3D objects. This promises transformative advances in human-computer interaction and neuromorphic computing.

Research on Network Security and Privacy Protection Technology of Autonomous Vehicle

With the rapid development of information technology and the increasing maturity of intelligent transportation systems, autonomous vehicles, as an important carrier of future travel, are gradually moving from concept to commercial application. However, the highly connected and intelligent nature of autonomous vehicles also makes them face unprecedented cybersecurity and privacy protection challenges. This paper deeply discusses the security threats and privacy disclosure risks of autonomous vehicles in network architecture, data transmission, data processing and other links, and systematically reviews the current technical means and research progress to address these challenges. This paper Outlines the data collection and transmission mechanism of autonomous vehicles, including the collection and processing of sensor data as well as the communication process between vehicles and the cloud, other vehicles and transportation infrastructure, and analyzes in detail the network security threats faced by autonomous vehicles, including remote control attacks, malware attacks, communication hijacking, etc. These threats can lead to serious consequences such as vehicle failure, data breach, or system crash. At the same time, the paper also points out the challenges faced by autonomous vehicles in terms of privacy protection, such as the risk of leakage of sensitive data such as personal location information and driving habits, as well as the risk of data abuse and sharing. In order to address the above challenges, this paper focuses on the technical research progress of cybersecurity and privacy protection of autonomous vehicles. In the aspect of network security, this paper discusses the key technical means such as data encryption, access control, intrusion detection and response system, and emphasizes the importance of security hardware and software in improving the overall security of the system. In terms of privacy protection, this paper proposes strategies such as anonymization and desensitization technology, privacy protection protocols and standards to protect users' privacy from invasion.

Design and implementation of tilting‐plate drainage equipment for paddy field

AbstractDrainage equipment is an important part of paddy field drainage and irrigation system, and its performance research and application are conducive to the promotion and implementation of high‐standard farmland construction. Aiming at the different water demand of rice in different growing stages, low water level control precision, large manual operation and extensive management of existing drainage machinery, a tilting‐plate drainage equipment using upper overflow mode was proposed in this paper. Based on the Geneva mechanism principle, a unique linkage mechanism is designed, which can realize water retaining operation and silt discharge operation through a single motor drive, and the relationship between the motor angle and the water retaining height is established. Through mechanical analysis and dynamic simulation of the mechanism, the motion characteristics of the water baffle, silt plate and the change of the motor torque are studied. A remote control system based on a 4G module is designed to control the drainage equipment easily through the user layer. The performance test of the prototype shows that the precision error of the optimized water retaining height control is less than 3.75%. The maximum height of water retaining operation is 180 mm, and the maximum load of silt discharge operation is 10 kg, which can meet the actual operation requirements. The design is beneficial to improve the precision and intelligence level of paddy field drainage management, and the research process can provide some help for the development and application of this kind of equipment.