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...

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....

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...

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...

These days manufacturing and design teams continuously collaborate with colleagues across traditional office boundaries floors in an effort to meet growing demand competition at a global scale. An essential tool for this industry is computer-aided engineering (CAD/CAE) software, which, unfortunately, was never designed address complex collaboration requirements. Now more than ever, there need service-oriented collaborative CAD/CAE solutions, essentially moving away from the high performance...

Purpose The purpose of this paper is to develop an efficient method for solving a vehicle scheduling problem (VSP) in 2D industrial environments. An autonomous requested serve set work centers the shop floor providing transport and delivery tasks while avoiding collisions with obstacles during its travel. objective find minimum length, collision‐free routing schedule that serves timely as many possible floor. Design/methodology/approach First, vehicle's environment mapped into B‐Spline...

Car sharing services with Semi-Autonomous Electric Vehicles (SAEVs) represent an emerging transportation scheme which may comprise important link in the green mobility chain for smart city operations. The main goal of present paper is to introduce and develop intelligent management system efficient relocation SAEVs within urban car-sharing context. A novel strategy analyzed regarding upcoming technology platooning. Considering real road networks SAEVs, routing decisions are assessed based on...

SUMMARY In this paper, a geometrical approach is developed to generate simultaneously optimal (or near-optimal) smooth paths for set of non-holonomic robots, moving only forward in 2D environment cluttered with static and obstacles. The robots represented by 3D geometric entity called Bump-Surface, which embedded 4D Euclidean space. multi-motion planning problem (MMPP) resolved finding the monoparametric C 2 curves onto such that their inverse images initial workspace satisfy optimization...

Haptic perception of fine surface features is a fundamental modality to identify virtual objects.Roughness and stickiness, which are modeled as textures friction respectively, the main characteristics in terms haptics.This research aimed at haptic rendering method based on analysis profile.Functionally generated employed for friction.Haptic anisotropic -surface having dominant feature direction, heterogeneous with varied density, investigated.Experimental measurements prototype system...