A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot

Naseer, Fawad; Khan, Muhammad Nasir; Rasool, Akhtar; Ayub, Nafees

doi:10.1049/ell2.12806

Cited by 9 publications

(11 citation statements)

References 8 publications

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“…Central to the system is the ROSIC core, which is surrounded by four key components: the linker, which connects all system elements; the authoriser, which manages user authentication and command authorisation; the organiser, which orchestrates the command flow and user access and the container, which securely stores data and encapsulates commands. Notably, the architecture's design promotes data security [4], user-centeredness [9],…”

Section: System Architecturementioning

confidence: 99%

“…A primary concern with robots controlled via web‐based platforms is their dependency on communication networks, which exposes them to significant security risks [1–6], including unauthorised access, data breaches and hacking [7]. Another critical aspect is ensuring a user‐centred interface for seamless interactions between users and remote‐controlled robots.…”

Section: Introductionmentioning

confidence: 99%

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ROSIC: Enhancing secure and accessible robot control through open‐source instant messaging platforms

Sadeghian,

Shahin,

Sareh

2024

IET Cyber-Syst and Robotics

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Ensuring secure communication and seamless accessibility remains a primary challenge in controlling robots remotely. The authors propose a novel approach that leverages open‐source instant messaging platforms to overcome the complexities and reduce costs associated with implementing a secure and user‐centred communication system for remote robot control named Robot Control System using Instant Communication (ROSIC). By leveraging features, such as real‐time messaging, group chats, end‐to‐end encryption and cross‐platform support inherent in the majority of instant messenger platforms, we have developed middleware that establishes a secure and efficient communication system over the Internet. By using instant messaging as the communication interface between users and robots, ROSIC caters to non‐technical users, making it easier for them to control robots. The architecture of ROSIC enables various scenarios for robot control, including one user controlling multiple robots, multiple users controlling one robot, multiple robots controlled by multiple users, and one user controlling one robot. Furthermore, ROSIC facilitates the interaction of multiple robots, enabling them to interoperate and function collaboratively as a swarm system by providing a unified communication platform that allows for seamless exchange of data and commands. Telegram was specifically chosen as the instant messaging platform by the authors due to its open‐source nature, robust encryption, compatibility across multiple platforms and interactive communication capabilities through channels and groups. Notably, the ROSIC is designed to communicate effectively with robot operating system (ROS)‐based robots to enhance our ability to control them remotely.

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Section: System Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ROSIC: Enhancing secure and accessible robot control through open‐source instant messaging platforms

Sadeghian,

Shahin,

Sareh

2024

IET Cyber-Syst and Robotics

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“…Several studies have identified essential considerations around usability, navigation, and control interfaces that broadly influence the acceptance and adoption of telepresence robots (11)(12)(13)(14), which can inform device optimization in exercise contexts. Smooth maneuverability and camera operations impacted the perceived ease of use and the intention to employ healthcare telepresence robots (15).…”

Section: Literature Reviewmentioning

confidence: 99%

Telepresence robots as facilitators of physical exercise during COVID-19: a feasibility and acceptance study

Addas

2023

Front. Public Health

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The COVID-19 pandemic and associated restrictions on mobility and access to green space have disrupted exercise habits worldwide. According to the World Health Organization (WHO), approximately 1.4 billion adults were insufficiently physically active in 2016, with detrimental impacts on health. The proposed study investigated the use of telepresence-robot-based personal trainers to facilitate remote exercise during the pandemic-related lockdowns. Several adults aged 18–65 were recruited for a four-week intervention and thorough research investigation. The intervention involved one-hour outdoor exercise sessions held three times per week in a local park with a human instructor connected via a telepresence robot. Surveys assessed perceptions of social presence, usability, the intention to use the robot and the psychological benefits of access to green space. System logs tracked participation and technical errors. At baseline, 30% of the participants met the WHO physical activity (PA) recommendations, compared to 80% after the intervention. The study shows significant increases in many parameters. These are perceived in social presence (p < 0.021), usability (p < 0.04), intentions for long-term use (p < 0.05), and the mental health benefits of accessing green spaces (p < 0.013). Attendance was found to be 90%, with a 7% technical failure rate. This investigation demonstrates the promise of telepresence robots for safely providing remote access to green spaces. They can be used to facilitate exercise during public health crises, overcoming the barriers to maintaining PA.

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“…We involved Neurosky Mind Wave headgear in our undertaking since it fulfills all of the above conditions [6][7][8][9][10][11]. However, it is somewhat costly, yet its highlights are incomparable, and no other sensor gives a similar exhibition.…”

Section: ) Sensor Determinationmentioning

confidence: 99%

Home Automation for Disable Person Using Gesture Control and Artificial Intelligence

Hussain

2023

JAIC

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For an extended time, gestures communique has performed a giant function in conveying information. Before the evolution of human beings, while no verbal mode of communique changed into the present, gesture communique changed into the simplest manner to interact with different human fellows. After evolution, with language improvement, the want of gestures for brief variety communique changed into removed. However, it became nonetheless giant in conveying messages at large distances, i.e., by lightening the hearth place at a far-off place. The modern generation is gaining this mode of communique, and it has correctly translated those gestures into the virtual world. The improvement of augmented truth is an instance of it. With the arrival of deep gaining knowledge of algorithms like Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), the issue in records evaluation and sample recognition has come to be very smooth and robust. In this undertaking, we've advanced a mind gestures (signals) reputation machine that controls home automation home equipment for bodily impaired people.

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A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot

Cited by 9 publications

References 8 publications

ROSIC: Enhancing secure and accessible robot control through open‐source instant messaging platforms

ROSIC: Enhancing secure and accessible robot control through open‐source instant messaging platforms

Telepresence robots as facilitators of physical exercise during COVID-19: a feasibility and acceptance study

Home Automation for Disable Person Using Gesture Control and Artificial Intelligence

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