A Multi-agent System for Dynamic Path Planning

2010 Second Brazilian Workshop on Social Simulation ◽

10.1109/bwss.2010.20 ◽

2010 ◽

Author(s):

Marcelo Cardoso Silva ◽

Ana Cristina Bicharra Garcia ◽

Aura Conci

Keyword(s):

Path Planning ◽

Multi Agent System ◽

Agent System ◽

Dynamic Path Planning ◽

Multi Agent ◽

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MULTI-AGENT SYSTEM PATH-PLANNING USING AGENT PERCEPTUAL MODEL AND DYNAMIC ARTIFICIAL POTENTIAL FIELDS

The International Conference on Applied Mechanics and Mechanical Engineering ◽

10.21608/amme.2010.37554 ◽

2010 ◽

Vol 14 (14) ◽

pp. 1-12

Author(s):

M. MABROUK

Keyword(s):

Path Planning ◽

Potential Fields ◽

Multi Agent System ◽

Agent System ◽

Perceptual Model ◽

Artificial Potential Fields ◽

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Particle swarm optimization based co-operative task assignment and path planning for multi-agent system

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8280872 ◽

2017 ◽

Author(s):

Sumana Biswas ◽

Sreenatha G. Anavatti ◽

Matthew A. Garratt

Keyword(s):

Particle Swarm Optimization ◽

Path Planning ◽

Particle Swarm ◽

Task Assignment ◽

Multi Agent System ◽

Agent System ◽

Swarm Optimization ◽

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Path planning and formation control for multi-agent system using ergodic exploration

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin45582.2020.9442145 ◽

2020 ◽

Author(s):

Zhulei Chen ◽

Li Xiao ◽

Qi Wang ◽

Zhuo Wang ◽

Zhigang Sun

Keyword(s):

Path Planning ◽

Formation Control ◽

Multi Agent System ◽

Agent System ◽

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Collaborative Q-learning path planning for autonomous robots based on holonic multi-agent system

2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA) ◽

10.1109/sita.2015.7358432 ◽

2015 ◽

Author(s):

Chaymaa Lamini ◽

Youssef Fathi ◽

Said Benhlima

Keyword(s):

Path Planning ◽

Autonomous Robots ◽

Multi Agent System ◽

Agent System ◽

Learning Path ◽

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Adaptive SOM-Based Fuzzy Neural Network controller design for multi-agent system dispatching and path planning

2012 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzz-ieee.2012.6250812 ◽

2012 ◽

Author(s):

Chi-Hsu Wang ◽

Kun-Neng Hung

Keyword(s):

Neural Network ◽

Path Planning ◽

Fuzzy Neural Network ◽

Controller Design ◽

Multi Agent System ◽

Agent System ◽

Neural Network Controller ◽

Network Controller ◽

Fuzzy Neural ◽

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Dynamic path planning with multi-agent data fusion - The Parallel Hierarchical Replanner

2009 IEEE International Conference on Robotics and Automation ◽

10.1109/robot.2009.5152883 ◽

2009 ◽

Author(s):

T. Allen ◽

A. Hill ◽

J. Underwood ◽

S. Scheding

Keyword(s):

Path Planning ◽

Data Fusion ◽

Dynamic Path Planning ◽

Multi Agent ◽

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An Improved Acceleration Method Based on Multi-Agent System for AGVs Conflict-Free Path Planning in Automated Terminals

IEEE Access ◽

10.1109/access.2020.3047916 ◽

2021 ◽

Vol 9 ◽

pp. 3326-3338

Author(s):

Kunlun Guo ◽

Jin Zhu ◽

Lei Shen

Keyword(s):

Path Planning ◽

Free Path ◽

Multi Agent System ◽

Agent System ◽

Multi Agent ◽

Acceleration Method

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Digital Circuit of Multi-Agent System for Two Pedestrian Streams in A Narrow Path

IEICE Proceeding Series ◽

10.15248/proc.2.471 ◽

2014 ◽

Vol 2 ◽

pp. 471-474

Author(s):

Takashi TOYOFUKU ◽

Kunihiko MITSUBORI

Keyword(s):

Digital Circuit ◽

Multi Agent System ◽

Agent System ◽

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An Evolutionary Approach to Tuning a Multi-Agent System for Autonomous Adaptive Control of a Flapping-Wing Micro Air Vehicle

International Journal of Robotics and Automation Technology ◽

10.15377/2409-9694.2016.03.01.2 ◽

2016 ◽

Vol 3 (1) ◽

pp. 7-15

Author(s):

Michal Podhradsky ◽

◽

Garrison Greenwood

Keyword(s):

Adaptive Control ◽

Flapping Wing ◽

Micro Air Vehicle ◽

Evolutionary Approach ◽

Multi Agent System ◽

Agent System ◽

Air Vehicle ◽

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Event-triggered and Self-triggered Formation Control of a Linear Multi-agent System

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.140.303 ◽

2020 ◽

Vol 140 (3) ◽

pp. 303-311

Author(s):

Ryo Toyota ◽

Kento Kotani ◽

Toru Namerikawa

Keyword(s):

Formation Control ◽

Multi Agent System ◽

Agent System ◽

Multi Agent ◽

Event Triggered

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