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What is Path Planning

Chapter 12
Handbook of Research on Design, Control, and Modeling of Swarm Robotics
A collision-free path from the start to the target according to an evaluation standard in the obstacle environment.
Published in Chapter:
An Adaptive Path Planning Based on Improved Fuzzy Neural Network for Multi-robot Systems
Zhiguo Shi (University of Science and Technology, China), Huan Zhang (University of Science and Technology, China), Jingyun Zhou (University of Science and Technology, China), and Junming Wei (Australian National University, Australia)
Copyright: © 2016 |Pages: 25
DOI: 10.4018/978-1-4666-9572-6.ch012
Abstract
The fuzzy neural network (FNN) is the combination of fuzzy theory with neural network, which has advantages of validity and adaptability in robot path planning. However, the path planning based on the FNN is not optimal because of the limitations of the subjective experience and motion mutation and the dead-zone. In this paper, FNN is improved by using A* graph search algorithm to guarantee an optimal path, providing the rationality and the feasibility, in which the grid map is divided into two stages, including the A* algorithm in the first stage and FNN in the second stage. In addition, a neural network based on adaptive control strategy is introduced to compensate the sensor failure and ensures the stability, which is caused by the loss of data and information uncertainty. The simulation results show that the approach is with effective performance in the robot path planning.
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More Results
Chapter 12
Intention and Body-Mood Engineering via Proactive Robot Moves in HRI
Planning feasible paths for robots according to the task they assigned with.
Published in Chapter: Intention and Body-Mood Engineering via Proactive Robot Moves in HRI; From: Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics
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Chapter 17
Evolutionary Path Planning for Robot Navigation Under Varying Terrain Conditions
The process of computing an optimal or near-optimal, collision-free path through an environment containing obstacles. The path is optimal with respect to criterion specific to the application.
Published in Chapter: Evolutionary Path Planning for Robot Navigation Under Varying Terrain Conditions; From: Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
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Chapter 2
DRL-Based Coverage Optimization in UAV Networks for Microservice-Based IoT Applications
The process of determining an optimal or safe route for a vehicle or mobile agent from its current position to a specific destination, taking into account obstacles, constraints, and other relevant environmental factors.
Published in Chapter: DRL-Based Coverage Optimization in UAV Networks for Microservice-Based IoT Applications; From: Applications of Machine Learning in UAV Networks
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Chapter 25
Navigating Through Virtual Worlds: From Single Characters to Large Crowds
The task to compute and follow a path from a given start to a given goal position in the game world.
Published in Chapter: Navigating Through Virtual Worlds: From Single Characters to Large Crowds; From: Handbook of Research on Gaming Trends in P-12 Education
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