RBPF and ICP based SLAM and Q-learning based Obstacle Avoidance Strategy for Home Service Robots
碩士 === 國立成功大學 === 電機工程學系 === 102 === This thesis mainly discusses the design and implementation of simultaneous localization and mapping (SLAM) and obstacle avoidance strategies for home service robots. The SLAM system is first built using the Rao-Blackwellized Particle Filter (RBPF) method and Iter...
Main Authors: | Hsiang-TingChen, 陳湘婷 |
---|---|
Other Authors: | Tzuu-Hseng S. Li |
Format: | Others |
Language: | en_US |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/9fetn3 |
Similar Items
-
Piecewise Linear Feature Based RBPF SLAM for Home Service Robot and Its Application to Accompanying Walk
by: Chung-LinLee, et al.
Published: (2016) -
A Novel Combined SLAM Based on RBPF-SLAM and EIF-SLAM for Mobile System Sensing in a Large Scale Environment
by: Hongjin Zhang, et al.
Published: (2011-10-01) -
Simultaneous Localization and Mapping of Mobile Robot Based on Improved RBPF
by: Zhang Jinging, et al.
Published: (2018-01-01) -
Adaptive Active Contour Model Based on Weighted RBPF for SAR Image Segmentation
by: Bin Han, et al.
Published: (2019-01-01) -
Optical Flow Based Robot Obstacle Avoidance
by: Kahlouche Souhila, et al.
Published: (2007-03-01)