Results 71 to 80 of about 5,865 (215)

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

open access: yesAdvanced Functional Materials, Volume 36, Issue 3, 8 January 2026.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo   +4 more
wiley   +1 more source

A Hybrid A*‐APF Path Planning Method for Ships Entering the Berthing Waters

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper presents a two‐stage hybrid path planning approach for ship berthing: the first stage builds an accurate environmental model based on berth features and the second stage combines an improved A* algorithm (with directional consistency penalty) and the artificial potential field method to generate feasible paths and enhance local obstacle ...
Zhuo Wen   +3 more
wiley   +1 more source

Optimized Path Planning for Autonomous Guided Vehicle Through Fusion of Improved A* and Dynamic Window Approach

open access: yesIEEE Access
This paper addresses the issues of slow speed, safety concerns, and non-smooth paths in traditional A* algorithm-based path planning for Autonomous Guided Vehicle (AGV) in complex environments.
Yixuan Luo   +3 more
doaj   +1 more source

A Cognitive AI‐Driven Hybrid Deep Learning Framework With Adaptive Dual Optimization for Reliable Renewable Energy Forecasting

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Reliable forecasting of renewable power generation is critical for optimizing power system operation, enhancing resource allocation, and supporting sustainable renewable energy planning. This paper proposes DeepCognition Forecasting (DCF), a Cognitive AI‐inspired hybrid deep learning framework that integrates bidirectional long short‐term memory (Bi ...
Asmaa Mohamed El-Saieed   +2 more
wiley   +1 more source

Research on Unmanned Vehicle Path Planning Based on the Fusion of an Improved Rapidly Exploring Random Tree Algorithm and an Improved Dynamic Window Approach Algorithm

open access: yesWorld Electric Vehicle Journal
Aiming at the problem that the traditional rapidly exploring random tree (RRT) algorithm only considers the global path of unmanned vehicles in a static environment, which has the limitation of not being able to avoid unknown dynamic obstacles in real ...
Shuang Wang, Gang Li, Boju Liu
doaj   +1 more source

A short curriculum of the robotics and technology of computer lab [PDF]

open access: yes, 2016
Our research Lab is directed by Prof. Anton Civit. It is an interdisciplinary group of 23 researchers that carry out their teaching and researching labor at the Escuela Politécnica Superior (Higher Polytechnic School) and the Escuela de Ingeniería ...
Civit Balcells, Antón
core  

Multiagent Path Planning With Neural Obstacle Avoidance for Autonomous Heavy Trucks

open access: yesJournal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Autonomous trucks in busy port terminals must navigate narrow aisles, tight corners, and frequent interactions with multiple vehicles while maintaining both safety and efficiency. This paper presents a hierarchical multiagent navigation framework that integrates an enhanced grid‐based Theta∗ global planner with obstacle inflation and clearance‐aware ...
Yihan Liu, Rauno Heikkilä, Jianbin Xin
wiley   +1 more source

Adressing static and dynamic errors in bandpass unit element multibit DAC's [PDF]

open access: yes, 2004
This paper describes a general model for static as well as dynamic errors in multibit unit element DAC's. Apart from the static mismatch there are two other error terms arising from switching imperfections.
De Maeyer, Jeroen   +2 more
core   +1 more source

Performance Evaluation of an AI‐Based Model Predictive Control Algorithm for Outdoor Air‐Based Ventilation Systems in Elementary School Facilities

open access: yesIndoor Air, Volume 2026, Issue 1, 2026.
Improvements in the indoor environment at schools are required due to the long periods of time spent in school facilities by children, who are particularly vulnerable to poor indoor air quality (IAQ). This study thus developed an AI‐based model predictive control algorithm (MPCA) for an outdoor air‐based energy recovery ventilation (ERV) system and ...
Jae Yoon Byun   +5 more
wiley   +1 more source

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