Work

Task-Parameterized Dynamic Movement Primitives With Reinforcement Learning for Improved Motion Planning

Year: 2025

Type: article

Source: IEEE Robotics and Automation Letters

DOI: 10.1109/lra.2025.3560876

Authors: Kaiqi Huang, Xiaochun Ji, Jianhua Su, Xiaoyi Qu

Institutions: Jiangxi University of Science and Technology, University of Chinese Academy of Sciences

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G7768744843

OpenAlex ID: W4409426105

FWCI: 1.81

Cites: 21

Cited by: 5

Related to: 10