Robot following and escaping for human interfacing using LIDAR-UWB based robot dog

Robots are increasingly becoming part of our everyday lives. Various efforts in commercial and research settings have made robots more accessible and capable of enhancing our daily lives with more comfort. Robots as a companion, in particular, is an idea that has been championed in mass media, and i...

Full description

Saved in:
Bibliographic Details
Main Author: Sng, Aaron Li Wen
Other Authors: Xie Lihua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167282
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-167282
record_format dspace
spelling sg-ntu-dr.10356-1672822023-07-07T15:48:09Z Robot following and escaping for human interfacing using LIDAR-UWB based robot dog Sng, Aaron Li Wen Xie Lihua School of Electrical and Electronic Engineering ELHXIE@ntu.edu.sg Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Robots are increasingly becoming part of our everyday lives. Various efforts in commercial and research settings have made robots more accessible and capable of enhancing our daily lives with more comfort. Robots as a companion, in particular, is an idea that has been championed in mass media, and is now gradually becoming a reality. The Go1 Robot by Unitree is an example of a robot dog that seeks to bridge the human-robot gap, and will be the main robot of use in this project. In this project, an interactive human-robot behaviour was developed, where the robot dog was able to follow a human subject. Ultra-Wideband (UWB) tags and Light Detection And Ranging (LiDAR) sensor were used in this project to achieve this capability. Basic behaviours are derived from the application of a slew of algorithms such as FAST-LIO2, A* global path planner, and DWA local path planner algorithms. These algorithms mainly work with the LiDAR to enable the robot to localise and navigate in the global coordinate frame. On the other hand, trilateration algorithms and Kalman trackers using ranging distances obtained from UWB will be used to localise the human subject. To aggregate the behaviours, behaviour trees are used to build on these basic behaviours, creating complex behaviours that were used to explore different algorithms of subject tracking. The first behaviour explores using a single ranging distance to perform subject tracking using an Unscented Kalman Filter. The second behaviour, which had the benefit of four ranging distances, did not necessitate non-linear methods to correctly localise and track the subject, and was successful in its purpose to track and follow the Subject. Bachelor of Engineering Science (Electrical and Electronic Engineering) 2023-05-25T06:34:36Z 2023-05-25T06:34:36Z 2023 Final Year Project (FYP) Sng, A. L. W. (2023). Robot following and escaping for human interfacing using LIDAR-UWB based robot dog. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167282 https://hdl.handle.net/10356/167282 en A1144-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
spellingShingle Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Sng, Aaron Li Wen
Robot following and escaping for human interfacing using LIDAR-UWB based robot dog
description Robots are increasingly becoming part of our everyday lives. Various efforts in commercial and research settings have made robots more accessible and capable of enhancing our daily lives with more comfort. Robots as a companion, in particular, is an idea that has been championed in mass media, and is now gradually becoming a reality. The Go1 Robot by Unitree is an example of a robot dog that seeks to bridge the human-robot gap, and will be the main robot of use in this project. In this project, an interactive human-robot behaviour was developed, where the robot dog was able to follow a human subject. Ultra-Wideband (UWB) tags and Light Detection And Ranging (LiDAR) sensor were used in this project to achieve this capability. Basic behaviours are derived from the application of a slew of algorithms such as FAST-LIO2, A* global path planner, and DWA local path planner algorithms. These algorithms mainly work with the LiDAR to enable the robot to localise and navigate in the global coordinate frame. On the other hand, trilateration algorithms and Kalman trackers using ranging distances obtained from UWB will be used to localise the human subject. To aggregate the behaviours, behaviour trees are used to build on these basic behaviours, creating complex behaviours that were used to explore different algorithms of subject tracking. The first behaviour explores using a single ranging distance to perform subject tracking using an Unscented Kalman Filter. The second behaviour, which had the benefit of four ranging distances, did not necessitate non-linear methods to correctly localise and track the subject, and was successful in its purpose to track and follow the Subject.
author2 Xie Lihua
author_facet Xie Lihua
Sng, Aaron Li Wen
format Final Year Project
author Sng, Aaron Li Wen
author_sort Sng, Aaron Li Wen
title Robot following and escaping for human interfacing using LIDAR-UWB based robot dog
title_short Robot following and escaping for human interfacing using LIDAR-UWB based robot dog
title_full Robot following and escaping for human interfacing using LIDAR-UWB based robot dog
title_fullStr Robot following and escaping for human interfacing using LIDAR-UWB based robot dog
title_full_unstemmed Robot following and escaping for human interfacing using LIDAR-UWB based robot dog
title_sort robot following and escaping for human interfacing using lidar-uwb based robot dog
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167282
_version_ 1772828020338327552