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Multiobjective quantum-inspired evolutionary algorithm for fuzzy path planning of mobile robot
2009
2009 IEEE Congress on Evolutionary Computation
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This paper proposes a multiobjective quantuminspired evolutionary algorithm (MQEA) to design efficient fuzzy path planner of mobil robot. ...
Three objectives such as elapsed time, heading direction and posture angle errors are designed to obtain robust fuzzy path planner in the robot soccer system. ...
This paper proposes multiobjective quantum-inspired evolutionary algorithm (MQEA) for fuzzy path planning in robot soccer system to improve proximity to the Paretooptimal set, while preserving diversity ...
doi:10.1109/cec.2009.4983080
dblp:conf/cec/KimK09
fatcat:4cl6gnjxgbdllemkcckednu6j4
Optimal path planning of mobile robots: A review
2012
International Journal of Physical Sciences
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This article provides an overview of the research progress in path planning of a mobile robot for off-line as well as on-line environments. ...
Also, challenges involved in developing a computationally efficient path planning algorithm are addressed. ...
The objective of this paper is to provide an overview of path planning algorithms used in mobile robots. ...
doi:10.5897/ijps11.1745
fatcat:pwfozo6wqndurjha2nt2sxsaui
Evolutionary dual rule-based fuzzy path planner for omnidirectional mobile robot
2016
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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The newly proposed fuzzy path planner utilizes a multiobjective evolutionary algorithm, which can take user's preference into account in path planning, for optimization of the path through scaling parameters ...
Fuzzy navigator has been widely used in path planning for mobile robots because of its fast response. ...
ACKNOWLEDGMENT This work was supported by the Technology Innovation Program, 10045252, Development of robot task intelligence technology, supported by the Ministry of Trade, Industry, and Energy (MOTIE ...
doi:10.1109/fuzz-ieee.2016.7737765
dblp:conf/fuzzIEEE/HongPK16
fatcat:wks4qvyqhndynd2dtfticnh2eq
QUARK: A Framework for Quantum Computing Application Benchmarking
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2202.03028v1 fatcat:fq2xmmrbfnc27dphgtz5kkbv7y
This paper establishes three significant contributions: (1) it makes a case for application-level benchmarks and provides an in-depth "pen and paper" benchmark formulation of two reference problems: robot ...
path and vehicle option optimization from the industrial domain; (2) it proposes the open-source QUARK framework for designing, implementing, executing, and analyzing benchmarks; (3) it provides multiple ...
Acknowledgments We thank Stefan Benesch, Yannick van Dijk, Marvin Erdmann, Christian Mendl, Lukas Müller and Carlos Riofrío for valuable feedback. ...
arXiv:2202.03028v2
fatcat:p4jc4oamnfcb3pfdzdbzr573fu
Optimal path planning for two-wheeled self-balancing vehicle pendulum robot based on quantum-behaved particle swarm optimization algorithm
2019
Personal and Ubiquitous Computing
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Quantum particle swarm optimization (QPSO) algorithm is used to solve the non-linear optimization problem, and the goal of optimal path planning is achieved. ...
Based on the self-balance of free-floating two-wheel self-balancing pendulum robot system, an optimal path planning of two-wheel self-balancing pendulum robot is proposed. ...
Planning for a suitable path is the premise for the space robots to carry out the on-orbit service missions [3, 4] . ...
doi:10.1007/s00779-019-01216-1
fatcat:k33mdlvz55gsbano3jlb46fuwe
Path Tracking of an Underwater Snake Robot and Locomotion Efficiency Optimization Based on Improved Pigeon-Inspired Algorithm
2022
Journal of Marine Science and Engineering
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In particular, a pigeon-inspired optimization algorithm improved by quantum rules (QPIO) is proposed for dynamically selecting the gait parameters that maximize energy efficiency. ...
This paper considers the tracking control of curved paths for an underwater snake robot, and investigates the methods used to improve energy efficiency. ...
An algorithm improving the PIO with quantum rules was proposed to dynamically select the gait parameters to enhance the energy efficiency of the robot. ...
doi:10.3390/jmse10010047
fatcat:glb4euvr5jcnxgy4kz3e577zoi
Editorial: Advances in Robots Trajectories Learning via Fast Neural Networks
2021
Frontiers in Neurorobotics
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JS thank the Instituto Politecnico Nacional, the Secretaria de Investigacion y Posgrado, the Comision de Operacion y Fomento de Actividades Academicas, and the Consejo Nacional de Ciencia y Tecnologia for ...
for the path planning obstacle avoidance in an intelligent robot. ...
Editorial on the Research Topic
Advances in Robots Trajectories Learning via Fast Neural Networks Motion planning, also known as the navigation problem, is a term used in robotics to find a sequence ...
doi:10.3389/fnbot.2021.671519
pmid:33828476
pmcid:PMC8019813
fatcat:vuw74xx4yjdn7at3yhwvu3nkx4
Preface
2020
Natural Computing
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A novel quantum ant colony optimization algorithm for automated guided vehicles (AGVs) path planning based on Bloch coordinates of pheromones is proposed. ...
The third paper is ''Quantum ant colony optimization algorithm for AGVs path planning based on Bloch coordinates of pheromones'' by Junjun Li, Bowei Xu, Yongsheng Yang and Huafeng Wu. ...
doi:10.1007/s11047-020-09803-5
fatcat:you46ta7o5h3pe7t4m5kza3xwi
Keywords
2021
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
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Obstacle Avoidance in an Autonomous Robot Mobile robots Development of an Efficient Path Planning Algorithm for Indoor Navigation Model Predictive Current Control Model Predictive Current Control of a ...
for Quadrotor Numeric optimization Development of an Efficient Path Planning Algorithm for Indoor Navigation Numerical simulation Numerical Optimization of Materials Properties for High-Efficiency CISe ...
doi:10.1109/cce53527.2021.9633101
fatcat:7ffdhuyqevhmpawcjajs2rgniq
Navigation of Quantum-Controlled Mobile Robots
[chapter]
2011
Recent Advances in Mobile Robotics
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Recent Advances in Mobile Robotics O 2 12 ,12 T s =− . ...
In the other words, the evolution the quantum-mechanical system depends on the fact of its observation. www.intechopen.com Navigation of Quantum-Controlled Mobile Robots 313 An actual evolution of the ...
Then the probability
Information theoretic decision-making and path planning The section presents information theoretic methods for quantum inspired decision-making and general path-planning algorithms ...
doi:10.5772/25944
fatcat:r2bg3fsf2fbophg2n2ydqmiqh4
A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents
[chapter]
2021
Motion Planning [Working Title]
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The navigation capability of homing pigeons has been precisely used in Pigeon Inspired Optimization algorithm and continuous advancement in existing algorithms is making it more suitable for complex optimization ...
The main theme of this survey paper is to introduce the basics of PIO along with technical advancements of PIO for the motion planning techniques of dynamic agents. ...
PIO is the state of the art optimization algorithm that was initially proposed for aerial robot path planning problems. ...
doi:10.5772/intechopen.99881
fatcat:rcltdyrpufgrxm55pbscdtd4wm
Swarm Intelligence in Engineering 2014
2015
Mathematical Problems in Engineering
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In the paper entitled "PSO-based robot path planning for multisurvivor rescue in limited survival time, " N. ...
the optimal parameters of three commonly used curves which were usually applied in robot path planning problems. ...
Acknowledgments These articles present rich and valuable advancements that SI technologies have made for solving problems in engineering. ...
doi:10.1155/2015/858901
fatcat:tf3ecrxuffbc5nraz2i7y6deqa
Path Planning Method for AUV Docking Based on Adaptive Quantum-Behaved Particle Swarm Optimization
2019
IEEE Access
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INDEX TERMS AUV docking, path optimization, quantum behaved evolutionary algorithm. ...
This paper proposed an evolutionary-based method, for the purpose of docking path optimization. First, the ocean environment and constraints are analyzed and modeled. ...
ACKNOWLEDGEMENT The authors are also grateful for the constructive suggestions from reviewers that significantly enhance the presentation of this paper. ...
doi:10.1109/access.2019.2922689
fatcat:pwfkkue65rhzff3plvdqw6xsui
A Novel Path Planning Strategy for a Cleaning Audit Robot Using Geometrical Features and Swarm Algorithms
2022
Sensors
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This combined approach generates an efficient optimal path covering all the identified dirt locations for efficient cleaning auditing. ...
The path generation strategies are validated in a real-world environment using an in-house developed cleaning auditing robot BELUGA. ...
An improved sparrow search algorithm for path-planning for a mobile robot is reported in [46] . ...
doi:10.3390/s22145317
pmid:35890997
pmcid:PMC9323497
fatcat:qnb3h6evcrezzev2e3wcihud3m
Combining a Probabilistic Sampling Technique and Simple Heuristics to solve the Dynamic Path Planning Problem
[article]
2009
arXiv
pre-print
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This algorithm uses RRTs as an initial solution, informed local search to fix unfeasible paths and a simple greedy optimizer. ...
This paper addresses the dynamic path planning problem by combining simple techniques in a multi-stage probabilistic algorithm. ...
In dynamic path planning we cannot wait until reaching the optimal solution because we must deliver a "good enough" plan within some time quantum. ...
arXiv:0912.0266v1
fatcat:bvjtpvhcerehribqk4ccwwyh7e
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