Results 51 to 60 of about 2,215,475 (370)

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal   +9 more
wiley   +1 more source

Development of quadruped walking robots: A review

open access: yesAin Shams Engineering Journal, 2021
Nowadays, design, development, and motion planning of a mobile robot explore research areas in the field of robotics. Mobile robots have an extensive area of applications in various fields like space exploration, military application, industrial use, and
Priyaranjan Biswal, Prases K. Mohanty
doaj  

HYBRID COMMUNICATION NETWORK OF MOBILE ROBOT AND QUAD-COPTER

open access: yesСистемный анализ и прикладная информатика, 2017
This paper introduces the design and development of QMRS (Quadcopter Mobile Robotic System). QMRS is a real-time obstacle avoidance capability in Belarus-132N mobile robot with the cooperation of quadcopter Phantom-4. The function of QMRS consists of GPS
Moustafa M. Kurdi
doaj   +1 more source

Efficient Path Planning for Mobile Robot Based on Deep Deterministic Policy Gradient

open access: yesSensors, 2022
When a traditional Deep Deterministic Policy Gradient (DDPG) algorithm is used in mobile robot path planning, due to the limited observable environment of mobile robots, the training efficiency of the path planning model is low, and the convergence speed
Hui Gong, Peng Wang, Cui Ni, Nuo Cheng
doaj   +1 more source

Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose A new workflow was investigated for Elekta Unity MR‐Linac by removing the computed tomography (CT)‐simulation step and using diagnostic CT (DCT) for reference plan generation. Materials and methods Ten patients with ultra‐hypofractionated prostate cancer treated with magnetic resonance imaging (MRI)‐guided adaptive radiotherapy were ...
Yuan Xu   +5 more
wiley   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien   +8 more
wiley   +1 more source

A Review of Mobile Robotic Telepresence [PDF]

open access: yesAdvances in Human-Computer Interaction, 2013
Mobile robotic telepresence (MRP) systems incorporate video conferencing equipment onto mobile robot devices which can be steered from remote locations. These systems, which are primarily used in the context of promoting social interaction between people, are becoming increasingly popular within certain application domains such as health care ...
Kristoffersson, Annica   +2 more
openaire   +3 more sources

Nonlinear Control for Tracking and Obstacle Avoidance of a Wheeled Mobile Robot With Nonholonomic Constraint

open access: yesIEEE Transactions on Control Systems Technology, 2016
This brief presents a novel control scheme for some problems on tracking and obstacle avoidance of a wheeled mobile robot with nonholonomic constraint. An extended state observer is introduced to estimate the unknown disturbances and velocity information
Hongjiu Yang   +3 more
semanticscholar   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Accelerometer for mobile robot positioning [PDF]

open access: yesIEEE Transactions on Industry Applications, 2001
An evaluation of a low-cost small-sized solid-state accelerometer is described in this paper. The sensor is intended for positioning of a mobile robot or platform. The acceleration signal output by the sensor is doubly integrated with time, which yields the travelled distance.
Liu, HHS, Pang, GKH
openaire   +4 more sources

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