PPNet: A Novel Neural Network Structure for End-to-End Near-Optimal Path Planning.
Qinglong MengChongkun XiaXueqian WangSongping MaiBin LiangPublished in: CoRR (2024)
Keyphrases
- end to end
- path planning
- neural network structure
- neural network
- mobile robot
- training process
- collision avoidance
- path planning algorithm
- potential field
- obstacle avoidance
- recurrent neural networks
- multi robot
- dynamic environments
- multi layer perceptron
- fuzzy neural network
- optimal path
- dynamic and uncertain environments
- hidden layer
- connection weights
- ad hoc networks
- training algorithm
- motion planning
- genetic algorithm
- artificial neural networks
- robot path planning
- aerial vehicles
- back propagation
- congestion control
- real time
- data sets
- real world
- multiple robots
- configuration space
- training data
- reinforcement learning
- support vector