Results 191 to 200 of about 135,956 (272)

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Deep reinforcement learning-based multi-lane mixed traffic ramp merging strategy. [PDF]

PLoS One
Zhou T, Huang Y, Tian Y, Huang H, Ou M, Lin T.   +5 more
europepmc   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Enhancing traffic safety analysis with digital twin technology: integrating vehicle dynamics and environmental factors into microscopic traffic simulation. [PDF]

Sci Rep
Xu G, Chen J, Wang Z, Zhou A, Schrader M, Bittle J, Shao Y.   +6 more
europepmc   +1 more source

Remora‐Inspired Sensing Suction Cup with Adhesion Monitoring and Force Detection

Advanced Intelligent Systems, EarlyView.
A suction cup with integrated liquid metal microchannel sensors enables stable multidirectional force sensing and adhesion monitoring in both air and water. The flexible resistive sensors, placed on the outer lip, transduce deformations into resistance changes under normal and shear loads.
Yuchen Liu, Bocheng Tian, Feiyang Yuan, Lei Li, Yinuo Cheng, Fuqiang Yang, Youning Duo, Li Wen   +7 more
wiley   +1 more source

Research on Takeover Safety of Intelligent Vehicles Based on Accident Scenarios in Real-Vehicle Testing. [PDF]

Sensors (Basel)
Li P, Zhou M, Xu C, Li H, Hu W, Tan Z, Xiao L, Mou X, Feng H.   +8 more
europepmc   +1 more source

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

Advanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka, Kei Okada, Masayuki Inaba   +2 more
wiley   +1 more source

Pulse-Glide Behavior in Emerging Mixed Traffic Flow Under Sensor Accuracy Variations: An Energy-Safety Perspective. [PDF]

Sensors (Basel)
Huang M, Sun J, Li H, Miao Q.
europepmc   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Services for Connected, Cooperated, and Automated Mobility based on Big Data and Artificial Intelligence: The SHOW project paradigm. [PDF]

Open Res Eur
Spanos G, Siomos A, Schmidt C, Tygesen M, Salanova JM, Rodrigues F, Papadopoulos A, Antypas E, Sersemis A, Gkemou M, Lalas A, Votis K, Ayfantopoulou G, Bekiaris E, Tzovaras D.   +14 more
europepmc   +1 more source