Results 111 to 120 of about 14,299 (252)
Acquiring and maintaining situation awareness (SA) is central for human operators during teleoperation. Therefore, examinations of interface design approaches or conditions that facilitate adequate operator SA are frequent in teleoperation research. Such
Matthias G. Arend +3 more
doaj +1 more source
Indoor UAV for Nuclear Investigation: Experimental Qualification and Field Feedback
ABSTRACT Indoor Unmanned Aerial Vehicles (UAVs) have recently gained interest for inspection and investigation tasks in hazardous environments. In the nuclear field, indoor UAVs offer promising capabilities to reduce workers' exposure to ionizing radiation while accessing confined or elevated areas.
Jérémy Seyssaud +6 more
wiley +1 more source
— An important area of research in the teleoperation literature is to develop systematic methods to quantitatively compare different manipulator designs in application critical tasks.
M. Cenk Çavus¸o˘glu +1 more
core
Teleoperation of low-cost manipulators is attracting increasing attention as a practical means of collecting demonstration data for imitation learning.
Koki Yamane +6 more
doaj +1 more source
Stability and Transparency of Delayed Bilateral Teleoperation with Haptic Feedback
Haptic guidance can improve control accuracy in bilateral teleoperation. With haptic sensing, the human operator feels that he grabs the robot on the remote side.
Estrada Edgar, Yu Wen, Li Xiaoou
doaj +1 more source
Ground‐based robotic remote sensing for standardized biodiversity monitoring in coastal habitats
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
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
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
Shared compliant control of teleoperation based on stiffness feedback
In teleoperation tasks, communication delays between master and slave sides negatively affect the stability and transparency of closed loop system, and make it difficult to maintain a desired contact force.
Wang XZ(王雪竹), Chen Y(陈洋)
core
World Models for Robotic Manipulation: A Survey
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang +17 more
wiley +1 more source
FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang +6 more
wiley +1 more source

