This paper addresses the complex problem of multi-goal robot navigation, framed as an NP-hard traveling salesman (TSP), in environments with both static and dynamic obstacles. The proposed approach integrates a novel path planning algorithm based on Bump-Surface concept to optimize shortest collision-free among obstacles, while Genetic Algorithm (GA) is employed determine optimal sequence goal points. To manage or two fuzzy controllers are developed: one for real-time tracking another...

All kinds of vessels consist dozens complex machineries with rotating parts and electric motors that operate continuously in harsh environments excess temperature, humidity, vibration, fatigue, load. A breakdown or malfunction one these can significantly impact a vessel’s operation safety and, consequently, the crew environment. To maintain operational efficiency seaworthiness, shipping industry invests substantial resources preventive maintenance repairs. This study presents economic...

Predicting the mechanical properties of Additive Manufacturing (AM) parts is a complex task due to intricate nature manufacturing processes. This study presents novel application Adaptive Neuro-Fuzzy Inference System (ANFIS) predict PLA specimens produced using Fused Filament Fabrication (FFF). The ANFIS model integrates strengths neural networks and fuzzy logic establish mapping between inputs output properties, specifically maximum stress, strain, Young’s modulus. Experimental data were...

Purpose A fleet of mobile robots has been effectively used in various application domains such as industrial plant inspection. This paper proposes a solution to the combined problem task allocation and motion planning for which are requested operate an intelligent industry. More specifically, serve set inspection points within given service time windows. In comparison with conventional windows, our considers fuzzy windows express decision maker’s satisfaction visiting point....

Autonomous navigation in dynamic environments poses a significant challenge the field of ro-botics with primary goals ensuring both smooth and safe movement. This study introduces control strategy based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) to enhance au-tonomous robot environments, emphasizing collision-free path plan-ning. employs, planning technique develop trajectory that allows ro-bot navigate smoothly while avoiding collisions static obstacles. The developed system...

The integration of 3D printing with smart infrastructure presents a transformative opportunity in urban planning, construction, and engineering, enhancing efficiency, flexibility, sustainability. By leveraging additive manufacturing alongside digitalization, artificial intelligence (AI), the Internet Things (IoT), this technology enables creation customized, lightweight, sensor-embedded structures. This work analyzes both advantages challenges applying infrastructure, focusing on material...

The increasing interest in environmental protection has propelled reverse logistics as a challenging field supply chain optimization. This paper addresses the vehicle routing problem with simultaneous pick-up and delivery (VRPSDP) while considering fuzzy payloads, primary objective of minimizing fuel consumption. VRPSDP payloads poses computationally intractable challenge, it involves fleet vehicles departing from central depot to both deliver collect goods dispersed group customers. To...

SUMMARY This paper presents a new solution approach for managing the motion of fleet autonomous vehicles (AVs) in indoor factory environments. AVs are requested to serve number workstations (WS) (following specified desired production plan materials requirements) while taking into account safe movement (collisions avoidance) shop floor as well time duration and energy resources. The proposed is based on Bump-Surface concept represent 2D environment through single mathematical entity....

This paper introduces a fuzzy logic-based autonomous ship deck landing system for fixed-wing unmanned aerial vehicles (UAVs). The is assumed to maintain constant course and speed. aim of this logic model simplify the task UAVs on moving ships in challenging maritime conditions, relieving operators from demanding task. designed UAV based (FLS), which comprises three interconnected subsystems (speed, lateral motion, altitude components). Each subsystem consists inputs one output incorporating...

Abstract In various industrial robotic applications, the effective traversal of a manipulator amidst obstacles and its ability to reach specific task-points are imperative for execution predefined tasks. certain scenarios, sequence in which reaches these significantly impacts overall cycle time required task completion. Moreover, some tasks necessitate significant force exertion at end-effector. Therefore, establishing an optimal reached by end-effector’s tip is crucial enhancing robot...

SUMMARY This paper proposes a new approach for solving generalization of the task scheduling problem articulated robots (either redundant or non-redundant), where robot's 2D environment is cluttered with obstacles arbitrary size, shape and location, while set task-points are located in free-space. The objective to determine optimum collision-free tip tour through all passing from each one exactly once returning initial task-point. combines two computationally NP-hard problems: optimal robot...

This paper studies the design, fabrication and simulation of a robotic arm that possesses ability to use information receives from its environment through machine vision. The main objective this work is construct simulate system able recognize identify various target objects located in robot's workspace using camera. image processing implemented clever convolutional neural network (CNN). After studying kinematics 5-dof manipulator, designed 3D design program. mechanical parts robot are...

The present paper introduces a method for determining the optimal task scheduling two-robot work cell. This problem is reminiscent of classic Travelling Salesman Problem (TSP), but measure to be optimized time instead distance. In addition, this much more complex problem, since it involves two robots (salesmen), which have visit different task-points (cities) considering multiplicity robots' inverse kinematics. optimization addressed in concerns determination (near-)optimum sequence that...