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A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation.
Sensors (Basel)
January 2025
Department of Product & Systems Design Engineering, University of the Aegean, 84100 Syros, Greece.
This paper addresses the complex problem of multi-goal robot navigation, framed as an NP-hard traveling salesman problem (TSP), in environments with both static and dynamic obstacles. The proposed approach integrates a novel path planning algorithm based on the Bump-Surface concept to optimize the shortest collision-free path among static obstacles, while a Genetic Algorithm (GA) is employed to determine the optimal sequence of goal points. To manage static or dynamic obstacles, two fuzzy controllers are developed: one for real-time path tracking and another for dynamic obstacle avoidance.
View Article and Find Full Text PDFData Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots.
Sensors (Basel)
January 2025
Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória 29075-910, ES, Brazil.
The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementing algorithms of high accuracy. To address such topics, this paper explores the application of the leader-based bat algorithm (LBBA), an enhancement of the traditional bat algorithm (BA).
View Article and Find Full Text PDFEnergy-Efficient Route Planning Method for Ships Based on Level Set.
Sensors (Basel)
January 2025
The Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3RH, UK.
To reduce the fuel consumption of ships' oceanic voyages, this study incorporates the influence of ocean currents into the traditional level set algorithm and proposes a route planning algorithm capable of identifying energy-efficient routes in complex and variable sea conditions. The approach introduces the influence factor of ocean current to optimize routing in dynamically changing marie environments. First, models for the energy consumption of ships and flow fields are established.
View Article and Find Full Text PDFPath Planning Algorithm for Manipulators in Complex Scenes Based on Improved RRT.
Sensors (Basel)
January 2025
School of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Aiming at the problems of a six-degree-of-freedom robotic arm in a three-dimensional multi-obstacle space, such as low sampling efficiency and path search failure, an improved fast extended random tree (RRT*) algorithm for robotic arm path planning method (abbreviated as HP-APF-RRT*) is proposed. The algorithm generates multiple candidate points per iteration, selecting a sampling point probabilistically based on heuristic values, thereby optimizing sampling efficiency and reducing unnecessary nodes. To mitigate increased search times in obstacle-dense areas, an artificial potential field (APF) approach is integrated, establishing gravitational and repulsive fields to guide sampling points around obstacles toward the target.
View Article and Find Full Text PDFStrategies for Optimizing Acute Burn Wound Therapy: A Comprehensive Review.
Medicina (Kaunas)
January 2025
Department 11, Discipline Plastic and Reconstructive Surgery, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Recent advancements in acute burn wound therapy are transforming the management of burn injuries, with a focus on improving healing times, graft integration, and minimizing complications. However, current clinical treatments face significant challenges, including the difficulty of accurately assessing wound depth and tissue viability, which can lead to suboptimal treatment planning. Traditional closure methods often struggle with issues such as delayed wound closure, limited graft survival, inadequate tissue regeneration, and insufficient vascularization.
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