Design of 3D Positioning Algorithm Based on RFID Receiver Array for In Vivo Micro-Robot

2009 ◽  
Author(s):  
Le Zhang ◽  
Yongxin Zhu ◽  
Tingting Mo ◽  
Jinlong Hou ◽  
Hao Hu
Keyword(s):  
Receiver Array ◽  
Micro Robot ◽  
3D Positioning ◽  
Positioning Algorithm

A Decentralized Positioning Method for Wireless Sensor Networks

2014 ◽  
Vol 668-669 ◽  
pp. 1194-1197 ◽  
Author(s):  
Yan Feng ◽  
Bo Yi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Three Dimensional ◽  
Research Direction ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Position Information ◽  
Initial Location ◽  
3D Positioning ◽  
Positioning Algorithm

The three-dimensional positioning algorithm has become a hot research direction in wireless sensor networks localization algorithms, however the existing 3D positioning algorithms have general shortcomings, such as high complexity, low positioning accuracy, great energy consumption. Aiming at the existing problems of 3D localization algorithm, we propose an decentralized 3D positioning algorithm based on RSSI ranging and free ranging mechanism. The algorithm firstly use measured RSSI to establish beacon node neighborhood. Then the method adopts regional division to obtain initial location information for unknown nodes. Finally, the method use the iterative optimization process to achieve a position information updates. Simulation results demonstrate that proposed algorithm is feasible and has better localization accuracy.

scholarly journals Object Positioning Algorithm Based on Multidimensional Scaling and Optimization for Synthetic Gesture Data Generation

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5923
Author(s):  
Borja Saez-Mingorance ◽  
Antonio Escobar-Molero ◽  
Javier Mendez-Gomez ◽  
Encarnacion Castillo-Morales ◽  
Diego P. Morales-Santos
Keyword(s):  
Synthetic Data ◽  
Qualitative Evaluation ◽  
Mobile Object ◽  
Data Generation ◽  
Limited Memory ◽  
Synthetic Data Generation ◽  
Data Generator ◽  
3D Positioning ◽  
Step Algorithm ◽  
Positioning Algorithm

This work studies the feasibility of a novel two-step algorithm for infrastructure and object positioning, using pairwise distances. The proposal is based on the optimization algorithms, Scaling-by-Majorizing-a-Complicated-Function and the Limited-Memory-Broyden-Fletcher-Goldfarb-Shannon. A qualitative evaluation of these algorithms is performed for 3D positioning. As the final stage, smoothing filtering techniques are applied to estimate the trajectory, from the previously obtained positions. This approach can also be used as a synthetic gesture data generator framework. This framework is independent from the hardware and can be used to simulate the estimation of trajectories from noisy distances gathered with a large range of sensors by modifying the noise properties of the initial distances. The framework is validated, using a system of ultrasound transceivers. The results show this framework to be an efficient and simple positioning and filtering approach, accurately reconstructing the real path followed by the mobile object while maintaining low latency. Furthermore, these capabilities can be exploited by using the proposed algorithms for synthetic data generation, as demonstrated in this work, where synthetic ultrasound gesture data are generated.

Experimental Vision-Based Target Positioning by PI Micro-Robot

2013 ◽  
Vol 433-435 ◽  
pp. 760-765 ◽  
Author(s):  
Wei Song ◽  
Xu Liu ◽  
Ya Nan Zhang ◽  
Lin Yong Shen
Keyword(s):  
Template Matching ◽  
Physical Experiment ◽  
Positioning Accuracy ◽  
Spatial Coordinate ◽  
Physical Experiments ◽  
Micro Robot ◽  
Confinement Fusion ◽  
Positioning Method ◽  
Feature Values ◽  
Positioning Algorithm

In Inertia confinement fusion (ICF) physical experiments, target positioning accuracy directly affects the success of target hitting. The proposed positioning method firstly used template matching to extract the target features in image, then calculated the target’s spatial coordinate and rotation matrix by integrating the feature values from three CCDs. We used a PI Hexapods Micro-robot to adjust the target to a desired position. The experiment results show the PI Hexapods Micro-robot is confirmed to be able to adjust the target in a desired position, which verifies the practicality of the proposed positioning algorithm to be used in the real ICF physical experiment.

scholarly journals Acoustic trapping of microbubbles in complex environments and controlled payload release

2020 ◽  
Vol 117 (27) ◽  
pp. 15490-15496 ◽  
Author(s):  
Diego Baresch ◽  
Valeria Garbin
Keyword(s):  
Acoustic Waves ◽  
Three Dimensional ◽  
Absolute Calibration ◽  
Complex Environments ◽  
Single Beam ◽  
Trapping Force ◽  
3D Positioning ◽  
The Stability ◽  
Low Amplitude

Contactless manipulation of microparticles using acoustic waves holds promise for applications ranging from cell sorting to three-dimensional (3D) printing and tissue engineering. However, the unique potential of acoustic trapping to be applied in biomedical settings remains largely untapped. In particular, the main advantage of acoustic trapping over optical trapping, namely the ability of sound to propagate through thick and opaque media, has not yet been exploited in full. Here we demonstrate experimentally the use of the recently developed technique of single-beam acoustical tweezers to trap microbubbles, an important class of biomedically relevant microparticles. We show that the region of vanishing pressure of a propagating vortex beam can confine a microbubble by forcing low-amplitude, nonspherical, shape oscillations, enabling its full 3D positioning. Our interpretation is validated by the absolute calibration of the acoustic trapping force and the direct spatial mapping of isolated bubble echos, for which both find excellent agreement with our theoretical model. Furthermore, we prove the stability of the trap through centimeter-thick layers of bio-mimicking, elastic materials. Finally, we demonstrate the simultaneous trapping of nanoparticle-loaded microbubbles and activation with an independent acoustic field to trigger the release of the nanoparticles. Overall, using exclusively acoustic powering to position and actuate microbubbles paves the way toward controlled delivery of drug payloads in confined, hard-to-reach locations, with potential in vivo applications.

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