Search Results - (( develop complete path algorithm ) OR ( java implication based algorithm ))
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1
Modelling of multi-robot system for search and rescue
Published 2023“…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
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Final Year Project / Dissertation / Thesis -
2
Adaptive path finding algorithm in dynamic environment for warehouse robot
Published 2020“…For example, A* path finding algorithm is developed to obtain the shortest path, while D* obtains a complete coverage path from source to destination. …”
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3
Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method
Published 2018“…Cun·ent studies have been focused on developing path planning algorithms to satisfy the criteria of path planning namely minimum path length, low computation time and complete, i.e., it gives positive result if a path is available or negative if otherwise. …”
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Thesis -
4
Comparison of path planning in simulated robot
Published 2020“…There are 4 path planning algorithms will be compared, which are Dijkstra’s algorithm, A* algorithm, RapidExploring Random Tree (RRT) algorithm, and the last one is an algorithm modified from A*. …”
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Final Year Project / Dissertation / Thesis -
5
Optimum Time-Cost Trade-Off Strategies on Critical Path Method for Project Management
Published 2010“…Approach of Crashing Critical Activities (CCA) was originally developed along with the Critical Path Method (CPM) for planning and controlling large scale projects in the late 50s. …”
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6
Optimizing optimal path trace back for Smith-Waterman algorithm using structural modelling technique
Published 2012“…The optimizing of optimal path trace back system for Smith-Waterman algorithm using structural modelling techniques are presented in this paper. …”
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Student Project -
7
Novel algorithm for mobile robot path planning in constrained environment
Published 2021“…This paper presents a development of a novel path planning algorithm, called Generalized Laser simulator (GLS), for solving the mobile robot path planning problem in a two-dimensional map with the presence of constraints. …”
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8
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…This research focuses on developing a novel path planning algorithm, called Generalized Laser Simulator (GLS), to solve the path planning problem of mobile robots in a constrained environment. …”
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Thesis -
9
Autonomous mobile robot: Path planning using backward chaining
Published 2008“…Obstacle avoidance and path planning algorithms has been tested using the completed design of AMR body. …”
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Conference or Workshop Item -
10
Novel algorithm for mobile robot path planning in constrained environment
Published 2022“…This paper presents a development of a novel path planning algorithm, called Generalized Laser simulator (GLS), for solving the mobile robot path planning problem in a two-dimensional map with the presence of constraints. …”
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11
Novel algorithm for mobile robot path planning in constrained environment
Published 2022“…This paper presents a development of a novel path planning algorithm, called Generalized Laser simulator (GLS), for solving the mobile robot path planning problem in a two-dimensional map with the presence of constraints. …”
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12
Optimised multi-robot path planning via smooth trajectory generation
Published 2024“…A MPSO algorithm, without path smoothening, is used for comparison. …”
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Final Year Project / Dissertation / Thesis -
13
Vision-based robot indoor navigation
Published 2022“…An algorithm is developed in the computer to achieve image processing, user input, path planning, simulation, and writing of output files. …”
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Final Year Project / Dissertation / Thesis -
14
Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
Published 2007“…Their ability as a colony to find paths or routes to the food sources has inspired the development of an algorithm namely Ant Colony System (ACS). …”
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15
Particle swarm optimization (PSO) for CNC route problem
Published 2002“…Basically, this project is mainly concerned on Particle Swarm Optimization (PS 0) to optimize the routing of CNC machine. The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. …”
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Undergraduates Project Papers -
16
Ant colony optimization (ACO) algorithm for CNC route problem
Published 2012“…This project is about to develop a software which applying ACO algorithm in order to calculate the shortest path available that can reduce the time taken to drill the entire hole of PCB. …”
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Undergraduates Project Papers -
17
Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The objectives of this research are to develop an algorithm for integrated scheduling and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm, ensure the algorithm validity and improvement on the performance of the developed algorithm. …”
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Thesis -
18
Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…In order to achieve this objective, each net need to be routed as shortest as possible. Therefore, developing a shortest path based routing algorithm is in need. …”
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19
Development of low power viterbi decoder on complex programmable logic device platform
Published 2018“…After the computation completes, the traceback unit will go back to the previous memory path to read and decode the minimum path metrics that have been stored by ACS unit. …”
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20
Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…In order to achieve this objective, each net need to be routed as shortest as possible. Therefore, developing a shortest path based routing algorithm is in need. …”
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