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Lasers

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Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network.

Sensors (Basel, Switzerland)
In this paper, a new algorithm for extracting the laser fringe center is proposed. Based on a deep learning skeleton extraction network, the laser stripe center can be extracted quickly and accurately. Skeleton extraction is the process of reducing t...

[Evaluation on Surgical Robotic Pose Repeatability Based on Laser Tracking Measurement].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
To provide accurate information for registration and safety evaluation of surgical robot, the pose repeatability measurement method was proposed. According to the terminal instrument of the master-slave surgical robot (such as high-frequency electric...

A Neural Network-Based Method for Fast Capture and Tracking of Laser Links between Nonorbiting Platforms.

Computational intelligence and neuroscience
In this paper, a neural network approach is used to conduct an in-depth study and analysis of the fast capture tracking method for laser links between nonorbiting platforms. The experimental platform of the convolutional neural network- (CNN-) based ...

Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework.

Sensors (Basel, Switzerland)
Robot localization inside tunnels is a challenging task due to the special conditions of these environments. The GPS-denied nature of these scenarios, coupled with the low visibility, slippery and irregular surfaces, and lack of distinguishable visua...

Magnetic-Actuated Robot Enables High-Performance Underwater Bubble Maneuvering on Laser-Textured Biomimetic Slippery Surfaces.

Langmuir : the ACS journal of surfaces and colloids
Controllable underwater gas bubble (UGB) transport on a surface is realized by geography-/stimuli-induced wettability gradient force (). Unfortunately, the high-speed maneuvering of UGBs along free routes on planar surfaces remains challenging. Herei...

Real-time reconstruction of high energy, ultrafast laser pulses using deep learning.

Scientific reports
We report a method for the phase reconstruction of an ultrashort laser pulse based on the deep learning of the nonlinear spectral changes induce by self-phase modulation. The neural networks were trained on simulated pulses with random initial phases...

A UWB-Based Lighter-Than-Air Indoor Robot for User-Centered Interactive Applications.

Sensors (Basel, Switzerland)
Features such as safety and longer flight times render lighter-than-air robots strong candidates for indoor navigation applications involving people. However, the existing interactive mobility solutions using such robots lack the capability to follow...

Measuring laser beams with a neural network.

Applied optics
A deep neural network (NN) is used to simultaneously detect laser beams in images and measure their center coordinates, radii, and angular orientations. A dataset of images containing simulated laser beams and a dataset of images with experimental la...

Composition analysis of ceramic raw materials using laser-induced breakdown spectroscopy and autoencoder neural network.

Analytical methods : advancing methods and applications
In the ceramic production process, the content of Si, Al, Mg, Fe, Ti and other elements in the ceramic raw materials has an important impact on the quality of the ceramic products. Exploring a method that can quickly and accurately analyze the conten...

Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

Microbiology spectrum
Images of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypot...