Results 141 to 150 of about 10,080 (259)

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Computation Offloading Strategy Based on Multi-Agent Reinforcement Learning in Vehicular Edge Computing Networks. [PDF]

Sensors (Basel)
Liu Y, Sun Q, Liu Z.
europepmc   +1 more source

A Compact, High‐Performance, and Deformation‐Resilient Trielectrode Electrostatic Soft Pump for Soft Robotics

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin, Xiaoli Yang, Tao Jin, Jieyu Wang, Sicheng Yi, Yue Wang, Songyi Zhong, Tao Yue, Quan Zhang, Yingzhong Tian, Long Li   +10 more
wiley   +1 more source

A study on in-depth accident investigation of intelligent connected vehicles based on reverse scenario construction. [PDF]

Sci Rep
Zhang S, Li X, Zha Z, Xiong H, Wu C, Li P, Kang Z.   +6 more
europepmc   +1 more source

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

A hybrid BiLSTM-transformer-GCN architecture with API fusion for adaptive transportation resource analytics. [PDF]

PLoS One
Javeed MS, Biswas AK, Hasan MN, Maua J, Islam R.   +4 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

Multi-Target Tracking with Collaborative Roadside Units Under Foggy Conditions. [PDF]

Sensors (Basel)
Shi T, Wang X, Jiang W, Huang X, Cen M, Cao S, Zhou H.   +6 more
europepmc   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

Low-altitude economy: next frontier in spatial exploration and economic development. [PDF]

Natl Sci Rev
Shum HY, Li S.
europepmc   +1 more source