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Autonomous navigation is crucial for both medical and industrial endoscopic robots, enabling safe and efficient exploration of narrow tubular environments without continuous human intervention, where avoiding contact with the inner walls…

Robotics · Computer Science 2026-01-07 Sicong Gao , Chen Qian , Laurence Xian , Liao Wu , Maurice Pagnucco , Yang Song

Gyroscopes play a crucial role in many and diverse applications associated with navigation, positioning, and inertial sensing [1]. In general, most optical gyroscopes rely on the Sagnac effect -- a relativistically induced phase shift that…

The techniques of cavity optomechanics have enabled significant achievements in precision sensing, including the detection of gravitational waves and the cooling of mechanical systems to their quantum ground state. Recently, the inherent…

We propose a reinforcement learning (RL) framework for the dynamic selection of the filter parameter in Evolve-Filter (EF) regularization strategies for incompressible turbulent flows. Instead of prescribing the filter radius heuristically,…

Numerical Analysis · Mathematics 2026-03-03 Anna Ivagnes , Maria Strazzullo , Gianluigi Rozza

The ability to engineer nonreciprocal interactions is an essential tool in modern communication technology as well as a powerful resource for building quantum networks. Aside from large reverse isolation, a nonreciprocal device suitable for…

Quantum Physics · Physics 2017-07-12 G. A. Peterson , F. Lecocq , K. Cicak , R. W. Simmonds , J. Aumentado , J. D. Teufel

Reinforcement learning (RL) has demonstrated the ability to maintain the plasticity of the policy throughout short-term training in aerial robot control. However, these policies have been shown to loss of plasticity when extended to…

Robotics · Computer Science 2025-03-11 Ali Tahir Karasahin , Ziniu Wu , Basaran Bahadir Kocer

We apply reinforcement learning to video compressive sensing to adapt the compression ratio. Specifically, video snapshot compressive imaging (SCI), which captures high-speed video using a low-speed camera is considered in this work, in…

Computer Vision and Pattern Recognition · Computer Science 2021-05-19 Sidi Lu , Xin Yuan , Aggelos K Katsaggelos , Weisong Shi

We found that the measurement sensitivity of an optical integrating gyroscope is fundamentally limited due to ponderomotive action of the light leading to the standard quantum limit of the rotation angle detection. The uncorrelated quantum…

Optics · Physics 2018-06-21 Andrey B. Matsko , Sergey P. Vyatchanin

With a variety of realisations, optomechanics utilizes its light matter interaction to test fundamental physics. By coupling the phonons of a mechanical resonator to the photons in a high quality cavity, control of increasingly macroscopic…

Quantum Physics · Physics 2025-11-25 L. F. Deeg , D. Zoepfl , N. Diaz-Naufal , M. L. Juan , A. Metelmann , G. Kirchmair

Beam divergence control is a key factor in maintaining reliable coverage in indoor optical wireless communication (OWC) systems as receiver height varies.Conventional systems employ fixed divergence angles, which result in significant…

Optimization and Control · Mathematics 2026-02-04 Hossein Safi , Rizwana Ahmad , Iman Tavakkolnia , Harald Haas

Nonreciprocal optical devices are essential for laser protection, modern optical communication and quantum information processing by enforcing one-way light propagation. The conventional Faraday magneto-optical nonreciprocal devices rely on…

Non-reciprocity of signal transmission enhances capacity of communication channels and protects transmission quality against possible signal instabilities, thus becoming an important component ensuring coherent information processing.…

Mesoscale and Nanoscale Physics · Physics 2020-04-22 Xufeng Zhang , Alexey Galda , Xu Han , Dafei Jin , V. M. Vinokur

We propose a new approach to inverse reinforcement learning (IRL) based on the deep Gaussian process (deep GP) model, which is capable of learning complicated reward structures with few demonstrations. Our model stacks multiple latent GP…

Machine Learning · Computer Science 2017-05-08 Ming Jin , Andreas Damianou , Pieter Abbeel , Costas Spanos

Non-Markovian memory effects in open quantum systems provide valuable resources for preserving coherence and enhancing controllability. However, exploiting them requires strategies adapted to history-dependent dynamics. We introduce a…

Quantum Physics · Physics 2026-01-12 Safae Gaidi , Abdallah Slaoui , Mohammed EL Falaki , Amine Jaouadi

Cavity optomechanics explores the coupling between the optical field and the mechanical oscillation to induce cooling and regenerative oscillation in a mechanical oscillator. So far, optomechanics relies on the detuning between the cavity…

There have been attempts in reinforcement learning to exploit a priori knowledge about the structure of the system. This paper proposes a hybrid reinforcement learning controller which dynamically interpolates a model-based linear…

Machine Learning · Computer Science 2020-12-10 Nicholas Capel , Naifu Zhang

This paper introduces a flight envelope protection algorithm on a longitudinal axis that leverages reinforcement learning (RL). By considering limits on variables such as angle of attack, load factor, and pitch rate, the algorithm…

Systems and Control · Electrical Eng. & Systems 2024-06-13 Akin Catak , Ege C. Altunkaya , Mustafa Demir , Emre Koyuncu , Ibrahim Ozkol

Optomechanics concerns with the coupling between optical cavities and mechanical resonators. Most early works are concentrated in the physics of optomechanics in the small-displacement regime and consider one single optical cavity mode…

Quantum Physics · Physics 2015-06-22 Ming Gao , Fuchuan Lei , Chuanguang Du , Gui Lu Long

Cavity optomechanics, a promising platform to investigate macroscopic quantum effects, has been widely used to study nonreciprocal entanglement with Sagnec effect. Here we propose an alternative way to realize nonreciprocal entanglemment…

Quantum Physics · Physics 2023-08-08 Jiaojiao Chen , Xiao-Gang Fan , Wei Xiong , Dong Wang , Liu Ye

A high-sensitivity gyroscope is vital for both investigation of the fundamental physics and monitor of the subtle variation of Earth's behaviors. However, it is challenge to realize a portable gyroscope with sensitivity approaching a small…

Optics · Physics 2025-04-29 Min She , Jiangshan Tang , Keyu Xia