Results 61 to 70 of about 11,271 (187)

Analysis of Factors Affecting Space Teleoperation Safety Performance Based on a Hybrid Fuzzy DEMATEL Method

open access: yesSpace: Science & Technology
Teleoperation is one of the highest-risk activities in manned space activities. An appropriate set of influencing factors is essential for the safety assessment of teleoperation.
Hongrui Zhang   +5 more
doaj   +1 more source

Disturbance-Observer-Based Sliding Mode Control Design for Nonlinear Bilateral Teleoperation System With Four-Channel Architecture

open access: yesIEEE Access, 2019
Good transparency performance (e.g., position tracking and force feedback) is an important issue in the control design of teleoperation systems. The four-channel architecture has advantages in the achievement of good transparency performance for ...
Jianzhong Tang   +5 more
doaj   +1 more source

A Design Specifications Template for Wearable Haptic Interfaces: A Case Study for Robotic Gripper Applications

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Wearable haptic interfaces are increasingly important for enhancing human robot collaboration, particularly in decision critical tasks that require intuitive and reliable interaction. Despite advances in wearable systems, existing designs often lack a structured framework that systematically integrates sensing, actuation, control, and user ...
Amr M. El‐Sayed
wiley   +1 more source

Brain functional connectivity under teleoperation latency: a fNIRS study

open access: yesFrontiers in Neuroscience
IntroductionLong-distance robot teleoperation faces high latencies that pose cognitive challenges to human operators. Latency between command, execution, and feedback in teleoperation can impair performance and affect operators’ mental state.
Yang Ye   +4 more
doaj   +1 more source

Ground‐based robotic remote sensing for standardized biodiversity monitoring in coastal habitats

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Illustrated workflow of the proposed citizen‐to‐robot monitoring pipeline: (i) expert‐validated citizen observations are translated into AI models, (ii) deployed on a ground‐based robotic platform for proximal sensing of coastal dune habitats, (iii) enabling standardized detection of ecological targets (e.g., Pancratium maritimum & Brithys crini), and (
Giovanni Di Lorenzo   +5 more
wiley   +1 more source

Research on the control of mobile robots in network based teleoperation system

open access: yes, 2009
Highly accurate and fairly complicated tasks remotely via the Internet by teleoperation were available for expertise individuals today. But several obstacles still exist, ranging from human-computer interfacing and overcoming random time delay to task ...
Tan DL(谈大龙)   +3 more
core   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

open access: yesSmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen   +12 more
wiley   +1 more source

Mobile robot teleoperation through eye-gaze (telegaze)

open access: yes, 2010
In most teleoperation applications the human operator is required to monitor the status of the robot, as well as, issue controlling commands for the whole duration of the operation.
Latif, HO
core  

Control scheme including prediction and augmented reality for teleoperation of mobile robots [PDF]

open access: yes, 2010
This paper proposes a control scheme for the teleoperation of a mobile robot in presence of time delay. Our proposal uses a compensation of the time delay based on a human operator's model and a simple 3D augmented reality scheme; both are related ...
Mut, Vicente Antonio   +1 more
core   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

open access: yesSmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo   +2 more
wiley   +1 more source

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