Results 101 to 110 of about 255 (170)

Analytical framework for evaluating NMPC-based robot navigation in fluid environments. [PDF]

PLoS One
Ali M, Das S, Townley S.
europepmc   +1 more source

Underwater Wireless Sensor Networks Performance Comparison Utilizing Telnet and Superframe. [PDF]

Sensors (Basel), 2023
Sathish K, Cv R, Ab Wahab MN, Anbazhagan R, Pau G, Akbar MF.   +5 more
europepmc   +1 more source

Dissociable effects of fatigue on performance and metacognition from automatic target cuing in undersea threat detection. [PDF]

Cogn Res Princ Implic
Smith MK, Kracinovich AR, Schrom BJ, Dunn TL.   +3 more
europepmc   +1 more source

Quantum-resilient cross-trust evaluation for zero trust 5G security. [PDF]

Sci Rep
Jeysuriya K, Renjith PN, Sudhakaran G.
europepmc   +1 more source

Dynamic Warning Method for Structural Health Monitoring Data Based on ARIMA: Case Study of Hong Kong-Zhuhai-Macao Bridge Immersed Tunnel. [PDF]

Sensors (Basel), 2022
Chen J, Jiang X, Yan Y, Lang Q, Wang H, Ai Q.   +5 more
europepmc   +1 more source

Demonstration of a mobile optical clock ensemble at sea. [PDF]

Nat Commun
Hilton AP, Offer RF, Klantsataya E, Scholten SK, Bourbeau Hébert N, Billington CJ, Locke C, Perrella C, Nelligan M, Allison JW, White B, Ahern E, Martin KW, Beard R, Elgin JD, Sparkes BM, Luiten AN.   +16 more
europepmc   +1 more source

Advanced Autonomous Underwater Vehicles Attitude Control with L 1 Backstepping Adaptive Control Strategy. [PDF]

Sensors (Basel), 2019
Liu Y, Che J, Cao C.
europepmc   +1 more source

Interoperability Among Unmanned Maritime Vehicles: Review and First In-field Experimentation. [PDF]

Front Robot AI, 2020
Costanzi R, Fenucci D, Manzari V, Micheli M, Morlando L, Terracciano D, Caiti A, Stifani M, Tesei A.   +8 more
europepmc   +1 more source

A model free deep reinforcement learning approach to autonomous undersea vehicle control with mixed numerical precision

Deep Reinforcement Learning (RL) shows promising results for control problems with continuous action spaces. A drawback to Deep RL is that it can be very computationally intensive; this is particularly concerning when considering fielding Deep RL applications on computational and power-constrained edge computing hardware typically implemented onboard ...
openaire   +1 more source

Marine Robotics Competitions: a Survey. [PDF]

Curr Robot Rep, 2020
Ferreira F, Ferri G.
europepmc   +1 more source