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Transition Edge Sensors (TESs) are amongst the most sensitive cryogenic detectors and can be easily optimized for the detection of massive particles or photons ranging from X-rays all the way down to millimetre radiation. Furthermore, TESs…

Instrumentation and Detectors · Physics 2024-11-05 Mario De Lucia , Paolo Dal Bo , Eugenia Di Giorgi , Tommaso Lari , Claudio Puglia , Federico Paolucci

We propose an efficient optomechanical mass sensor operating at exceptional points (EPs), non-hermitian degeneracies where eigenvalues of a system and their corresponding eigenvectors simultaneously coalesce. The benchmark system consists…

Mesoscale and Nanoscale Physics · Physics 2019-08-07 P. Djorwé , Y. Pennec , B. Djafari-Rouhani

In this paper, the optimization-based alignment (OBA) methods are investigated with main focus on the vector observations construction procedures for the strapdown inertial navigation system (SINS). The contributions of this study are…

Robotics · Computer Science 2016-11-24 Lubin Chang , Jingshu Li , Kailong Li

The responsivity of perturbation sensing can be effectively enhanced by using higher-order exceptional points (HOEPs) due to their nonlinear response to frequency perturbations. However, experimental realization can be difficult due to the…

Optics · Physics 2024-12-02 Todd Darcie , J. Stewart Aitchison

On- and off-axis electron energy loss spectroscopy (EELS) is a powerful method for probing local electronic structure on single atom level. However, many materials undergo electron-beam induced transformation during the scanning…

Materials Science · Physics 2023-10-23 Kevin M. Roccapriore , Riccardo Torsi , Joshua Robinson , Sergei V. Kalinin , Maxim Ziatdinov

Optical tactile sensors have recently become popular. They provide high spatial resolution, but struggle to offer fine temporal resolutions. To overcome this shortcoming, we study the idea of replacing the RGB camera with an event-based…

Robotics · Computer Science 2024-08-16 Niklas Funk , Erik Helmut , Georgia Chalvatzaki , Roberto Calandra , Jan Peters

Precise measurements from sensors are crucial, but data is usually collected from low-cost, low-tech systems, which are often inaccurate. Thus, they require further calibrations. To that end, we first identify three requirements for…

Machine Learning · Computer Science 2024-12-31 Seokho Ahn , Hyungjin Kim , Sungbok Shin , Young-Duk Seo

Turbines are crucial to our energy infrastructure, and ensuring their bearings function with minimal friction while often supporting heavy loads is vital. Vibrations within a bearing can signal the presence of defects, friction, or…

Classical Physics · Physics 2024-12-20 Jessica J. Kent , Matheus de C. Loures , Art L. Gower

Detecting driver drowsiness reliably is crucial for enhancing road safety and supporting advanced driver assistance systems (ADAS). We introduce the Eyelid Angle (ELA), a novel, reproducible metric of eye openness derived from 3D facial…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Mathis Wolter , Julie Stephany Berrio Perez , Mao Shan

Transition-edge sensors (TESs) are capable of highly accurate single particle energy measurement. TESs have been used for a wide range of photon detection applications, particularly in astronomy, but very little consideration has been given…

Instrumentation and Detectors · Physics 2023-05-11 K. M. Patel , S. Withington , C. N. Thomas , A. G. Shard , D. J. Goldie

We propose a newly configured optical correlation-domain reflectometry (OCDR) without the use of an electrical spectrum analyzer (ESA) for high-speed distributed reflectivity measurement with an enhanced spatial resolution. First, the…

Transition-Edge Sensors (TESs) are very effective photon-number-resolving (PNR) detectors that have enabled many photonic quantum technologies. However, their relatively slow thermal recovery time severely limits their operation rate in…

This paper develops an accurate force control algorithm for series elastic actuators (SEAs) based on a novel force estimation scheme, called transmission force observer (TFOB). The proposed method is designed to improve an inferior force…

Robotics · Computer Science 2019-02-15 Chan Lee , Jinoh Lee , Sehoon Oh

Multi-modal object detection in autonomous driving has achieved great breakthroughs due to the usage of fusing complementary information from different sensors. The calibration in fusion between sensors such as LiDAR and camera was always…

Computer Vision and Pattern Recognition · Computer Science 2025-12-05 Zhihang Song , Dingyi Yao , Ruibo Ming , Lihui Peng , Danya Yao , Yi Zhang

In this paper, we explore the dynamic grasping of moving objects through active pose tracking and reinforcement learning for hand-eye coordination systems. Most existing vision-based robotic grasping methods implicitly assume target objects…

Robotics · Computer Science 2023-10-11 Baichuan Huang , Jingjin Yu , Siddarth Jain

The fault diagnosis of rolling bearings is a critical technique to realize predictive maintenance for mechanical condition monitoring. In real industrial systems, the main challenges for the fault diagnosis of rolling bearings pertain to…

Machine Learning · Computer Science 2022-04-27 Zhenhua Tan , Jingyu Ning , Kai Peng , Zhenche Xia , Danke Wu

Optomechanical systems offer one of the most sensitive methods for detecting mechanical motion using shifts in the optical resonance frequency of the optomechanical resonator . Presently, these systems are used for measuring mechanical…

Optics · Physics 2011-05-13 Suresh Sridaran , Sunil A. Bhave

Electrodermal activity (EDA) reflects changes in skin conductance, which are closely tied to human psychophysiological states. For example, EDA sensors can assess stress, cognitive workload, arousal, or other measures tied to the…

Human-Computer Interaction · Computer Science 2024-03-25 Martin Schmitz , Dominik Schön , Henning Klagemann , Thomas Kosch

Flexible tactile sensors are increasingly used in real-world applications such as robotic grippers, prosthetic hands, wearable gloves, and assistive devices, where they need to conform to curved and irregular surfaces. However, most…

Robotics · Computer Science 2025-11-04 Luoyan Zhong , Heather Jin Hee Kim , Dylan P. Losey , Cara M. Nunez

This paper addresses the challenge of achieving robust and reliable positioning of a radio device carried by an agent, in scenarios where direct line-of-sight (LOS) radio links are obstructed by the agent. We propose a Bayesian estimation…

Signal Processing · Electrical Eng. & Systems 2025-04-28 Hong Zhu , Alexander Venus , Erik Leitinger , Klaus Witrisal