Please use this identifier to cite or link to this item:
|Title:||Indoor autonomous robot navigation by using visually grounded semantic instructions||Authors:||Tan, Mei Yu||Keywords:||Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics||Issue Date:||2022||Publisher:||Nanyang Technological University||Source:||Tan, M. Y. (2022). Indoor autonomous robot navigation by using visually grounded semantic instructions. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158164||Project:||B3204-211||Abstract:||Navigation is becoming an increasingly substantial part of autonomy in robotics. As the capability of robots is continually researched and developed towards increasing complex tasks, navigation has become a topic that many are diving into. There has been numerous developments in navigation, from using Simultaneous Localization and Mapping to build maps in navigation, to exploring other forms of maps like Topological, Semantics and even Abstract maps. This project will work towards exploring a different kind of navigation that is essentially map-less. This is especially useful in foreign environments that the robot have no knowledge on whatsoever. More specifically, this project focuses on defining the navigation goal as a mere string, of either a room name or a unit number. Without a map as a reference, the robot is forced to rely on extracting text information from its surrounding to identify its goal. Although the focus of this project is on goal-oriented navigation using text from the environment, the idea being explored in this project could be applied to many different functions and even used together with other existing work. This study is similar to previous work on extracting directional instructions for the robot to follow by extracting information from signs with the exception that it focus on finding the goal by verifying different potential end points, which are doors in this case, in the environment.||URI:||https://hdl.handle.net/10356/158164||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
Updated on Dec 9, 2022
Updated on Dec 9, 2022
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.