Hybrid control for robot navigation - A hierarchical Q-learning algorithm

Chunlin Chen*, Han Xiong Li, Daoyi Dong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)

Abstract

A control approach, hybrid control architecture, combines reactive and deliberate control using a hierarchical Q-learning algorithm. Under this control approach, the grid-topological maps are constructed and maintained online providing a model of the environment, and then, hybrid control architecture is proposed based on the grid-topological maps. Another novel q-learning algorithm is discussed based on the hybrid Markov decision process. This process runs as an integrated learning and control algorithm for the proposed hybrid control architecture. In addition, a grid-topological map-building method has been presented with online updating techniques.

Original languageEnglish
Pages (from-to)37-47
Number of pages11
JournalIEEE Robotics and Automation Magazine
Volume15
Issue number2
DOIs
Publication statusPublished - Jun 2008
Externally publishedYes

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