Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning
2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)(2021)
摘要
While decades of research efforts have been devoted to developing classical autonomous navigation systems to move robots from one point to another in a collision-free manner, machine learning approaches to navigation have been recently proposed to learn navigation behaviors from data. Two representative paradigms are end-to-end learning (directly from perception to motion) and parameter learning (...
更多查看译文
关键词
Training,Navigation,Simulation,Training data,Machine learning,Robot sensing systems,Safety
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要