Results 191 to 200 of about 41,749 (283)

Exploring biofiber properties and their influence on biocomposite tensile properties

open access: yesPolymer International, EarlyView.
The study measured the physical, flow and chemical properties of 10 biofibers. It characterized the tensile properties of derived biocomposites and linked them using regression models, showing robust predictive performance. Abstract Biofibers serve as effective reinforcements for neat polylactic acid (PLA) in biocomposites, offering an attractive ...
Oluwafemi A. Oyedeji   +5 more
wiley   +1 more source

Balancing tracks and trees: Assessing railroad impact on Brazilian biodiversity

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
The Brazilian West–East Integration Railway (FIOL) aims to boost the national economy by improving commodity transport; however, it crosses three of Brazil's most biodiverse and fragile regions: the Caatinga, Cerrado and Atlantic Forest. Using digitised plant records and land‐use analyses, our study reveals significant vegetation loss within the ...
Ana Luiza Silva Rocha   +3 more
wiley   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía   +3 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi   +3 more
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling   +3 more
wiley   +1 more source

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