A hybrid formation path planning based on A* and multi-target improved artificial potential field algorithm in the 2D random environments
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Title
A hybrid formation path planning based on A* and multi-target improved artificial potential field algorithm in the 2D random environments
Authors
Keywords
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Journal
ADVANCED ENGINEERING INFORMATICS
Volume 54, Issue -, Pages 101755
Publisher
Elsevier BV
Online
2022-10-05
DOI
10.1016/j.aei.2022.101755
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- (2019) Shikai Shao et al. ISA TRANSACTIONS
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- (2016) Yang Liu et al. AEROSPACE SCIENCE AND TECHNOLOGY
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- (2015) Peng Yang et al. IEEE Transactions on Robotics
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- (2015) Taehwan Lee et al. OCEAN ENGINEERING
- New potential field method for rough terrain path planning using genetic algorithm for a 6-wheel rover
- (2015) Rekha Raja et al. ROBOTICS AND AUTONOMOUS SYSTEMS
- An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots
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- (2011) Martin B. Larsen et al. ACTA ASTRONAUTICA
- Control Strategies for Driving a Group of Nonholonomic Kinematic Mobile Robots in Formation Along a Time-Parameterized Path
- (2011) Amit Ailon et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
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- (2011) Paul Mahacek et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
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- (2011) Serhat Bayili et al. KNOWLEDGE-BASED SYSTEMS
- Experiments of Formation Control With Multirobot Systems Using the Null-Space-Based Behavioral Control
- (2009) G. Antonelli et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Formation Control and Collision Avoidance for Multi-agent Non-holonomic Systems: Theory and Experiments
- (2007) Silvia Mastellone et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
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