Data-Driven Motion Planning: A Survey on Deep Neural Networks, Reinforcement Learning, and Large Language Model Approaches

Data-Driven Motion Planning: A Survey on Deep Neural Networks, Reinforcement Learning, and Large Language Model Approaches

Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits. Its complexity increases with the number of robot joints. Several traditional approaches tackle this problem,...

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Bibliographic Details
Main Authors: Gabriel Peixoto de Carvalho, Tetsuya Sawanobori, Takato Horii
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Robotics
deep learning
survey
large language models
neural networks
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10930422/
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