Results 91 to 100 of about 3,368,666 (282)

Development of an Inchworm‐Like Dual‐Balloon‐Assisted Colonoscopic Robot Based on a Two‐Segment Extensible Continuum Section

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents an inchworm‐like dual‐balloon‐assisted colonoscopic robot (IDCR) based on a rod‐driven two‐segment continuum section. The IDCR enables the active straightening of the sigmoid colon through an inchworm‐like locomotion strategy, thereby avoiding loop formation.
Dezhi Song   +4 more
wiley   +1 more source

Study on multiple maneuvering targets tracking based on JPDA algorithm

open access: yesJournal of Measurement Science and Instrumentation, 2016
A tracking algorithm for multiple-maneuvering targets based on joint probabilistic data association(JPDA)is proposed to improve the accuracy for tracking algorithm of traditional multiple maneuvering targets.The interconnection probability of the two ...
NING Qian-hui   +4 more
doaj  

A Multidimensional Perspective on Network Conditions in Telesurgery

open access: yesAdvanced Intelligent Systems, EarlyView.
A multidimensional framework systematically evaluates how combined network impairments influence telesurgical performance. By jointly analyzing latency, jitter, bandwidth, and packet loss, the proposed methodology identifies relevant network condition parameters and their interactions, supporting the design of reliable and safe telesurgical systems ...
Florian Heemeyer   +4 more
wiley   +1 more source

Accuracy analysis and improvement of different Alpha-Beta filtering algorithms

open access: yes四川大学学报. 自然科学版, 2018
Maneuvering target tracking is an important part of radar application system, target tracking accuracy is regarded as an important index when evaluating an algorithm's performance for the maneuvering target tracking,it is the focus of attention of most ...
LIU Chang-Juan, WANG Yun-Feng, YANG Ling
doaj  

Tracking maneuver target using interacting multiple model-square root cubature Kalman filter based on range rate measurement

open access: yesInternational Journal of Distributed Sensor Networks, 2017
The problem of maneuvering target tracking is a hot issue in the field of target tracking. Due to the range rate measurement containing the maneuvering information of target, it has the important practical significance to study how to use the range rate ...
Hongqiang Liu   +2 more
doaj   +1 more source

Two-layer particle filter for multiple target detection and tracking [PDF]

open access: yes, 2012
This paper deals with the detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels. To approximate the posterior probability density function, we develop a two-layer particle filter.
Morelande, Mark R.   +2 more
core  

HeaTrace: A Parametric Design‐to‐Fabrication Workflow for Thermally Programmable Soft Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
A programmable thermal actuation workflow enables soft robots to be designed and fabricated with embedded heaters that drive multiple responses. By combining performance‐driven heater design with multimaterial fabrication, the system supports thermally triggered shape change, stiffness tuning, and thermochromic visual response, as demonstrated through ...
Naresh Kumar Thanigaivel   +9 more
wiley   +1 more source

Optimizing Underwater Passive Maneuvering Target Tracking With Innovative Radial Basis Function Deep Neural Paradigm

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Tracking underwater passive maneuvering targets poses significant challenges due to high maneuverability and noisy ocean environments, particularly when target follows large and sharp turns continuously.
Wasiq Ali   +3 more
doaj   +1 more source

Applying Adaptive Estimator to Maneuvering Tracking System [PDF]

open access: yes, 2012
[[abstract]]An approach of tracking multiple maneuvering targets using an adaptiveEstimator is developed in this paper. With the developed algorithm, the systemwill improve the tracking accuracy and reliability of radar surveillance.
Lai, Chien-Wen; Chen, Pei-Kun; Chung, Yi-Nung; Hsu, Chao-Hsing
core  

Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen   +3 more
wiley   +1 more source

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