Please use this identifier to cite or link to this item:
Title: A study and implementation of mapping and speech recognition techniques for an autonomous mobile robot based on ROS
Authors: Srinivasa, Rao, H.
Desai, V.H.
Bhat, R.
Jayaprakash, S.
Sampangi, Y.
Issue Date: 2017
Citation: International Journal of Advanced Mechatronic Systems, 2017, Vol.7, 5, pp.303-310
Abstract: Autonomous mobile robots work in close interaction with humans in environments such as homes, hospitals, public places and disaster areas. In autonomous mobile robots, the main constraints are safety, autonomy and efficiency in helping the humans. Given these constraints, developing the autonomous mobile robot technologies is a major challenge for both the industry and the research society. This paper work is about how an indoor autonomous mobile robot can work based on robot operating system and using Lidar and other sensors to create a map of an environment, and perform autonomous navigation with using capabilities like dynamic obstacle avoidance, speech recognition and video streaming. To achieve the above features, different algorithms like SLAM, AMCL, dynamic window approach algorithms, and CMU PocketSphinx speech recogniser are used. For video steaming, ROS web video server is used and the recorded video can be sent to a remote desktop system using ROS network. 2017 Inderscience Enterprises Ltd.
URI: 10.1504/IJAMECHS.2017.095874
Appears in Collections:1. Journal Articles

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.