[HTML][HTML] Path Planning Technique for Mobile Robots: A Review

L Yang, P Li, S Qian, H Quan, J Miao, M Liu, Y Hu… - Machines, 2023 - mdpi.com
Mobile robot path planning involves designing optimal routes from starting points to
destinations within specific environmental conditions. Even though there are well …

Coverage path planning optimization of heterogeneous UAVs group for precision agriculture

RI Mukhamediev, K Yakunin, M Aubakirov… - IEEE …, 2023 - ieeexplore.ieee.org
Precision farming is one of the ways of transition to the intensive methods of agricultural
production. The case of application of unmanned aerial vehicles (UAVs) for solving …

A Review of Intelligence-Based Vehicles Path Planning

B Hao, JS Zhao, Q Wang - SAE International Journal of Commercial …, 2023 - sae.org
Numerous researchers are committed to finding solutions to the path planning problem of
intelligence-based vehicles. How to select the appropriate algorithm for path planning has …

A fuzzy logic approach of pareto optimality for multi-objective path planning in case of unmanned surface vehicle

C Ntakolia, GP Kladis, DV Lyridis - Journal of Intelligent & Robotic Systems, 2023 - Springer
Abstract Unmanned Surface Vehicles (USVs) are nowadays used in various applications for
security, inspection and delivery among others. To operate in dynamic and complex …

[HTML][HTML] Path planning in the case of swarm unmanned surface vehicles for visiting multiple targets

C Ntakolia, DV Lyridis - Journal of Marine Science and Engineering, 2023 - mdpi.com
In this study, we present a hybrid approach of Ant Colony Optimization algorithm (ACO) with
fuzzy logic and clustering methods to solve multiobjective path planning problems in the …

Design and Implementation of Fuzzy Logic for Obstacle Avoidance in Differential Drive Mobile Robot

RD Puriyanto, AK Mustofa - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
Autonomous mobile robots based on wheel drive are widely used in various applications.
The differential drive mobile robot (DDMR) is one type with wheel drive. DDMR uses one …

Emotion-aware brain storm optimization

C Ntakolia, DCC Koutsiou, DK Iakovidis - Memetic Computing, 2023 - Springer
Βrain storm optimization (BSO) is a swarm-intelligence clustering-based algorithm inspired
by the human brainstorming process. Electromagnetism-like mechanism for global …

Optimizing the Tuning of Fuzzy-PID Controllers for Motion Control of Friction Stir Welding Robots

E Marliana, A Wahjudi, L Nurahmi… - Journal of Robotics …, 2024 - journal.umy.ac.id
Friction stir welding (FSW) is defined as a solid-state welding method that is required to be
accurate, especially for its motion. This requirement can be satisfied by implementing an …

Unmanned Aerial Vehicles Path Planning Based on an Enhanced Whale Optimization Algorithm

AA Saadi, A Soukane, Y Meraihi, AB Gabis… - Workshop on Mining …, 2022 - Springer
This paper proposes an improved variant of the Whale Optimization Algorithm (QRWOA) for
solving the Unmanned Aerial Vehicles (UAVs) path planning problem. In our proposed …

Energy-Efficient Path-Planning for UAV Swarm Based Missions: A Genetic Algorithm Approach

GP Kladis, L Doitsidis… - … on Unmanned Aircraft …, 2024 - ieeexplore.ieee.org
In all applications involving swarms, it's crucial for the group to achieve its objectives safely
and with efficient energy utilisation, while adhering to constraints and meeting mission …