Field |
Value |
Language |
dc.contributor.author |
Nguyen, HAD |
|
dc.contributor.author |
Ha, QP |
|
dc.date.accessioned |
2022-04-13T02:40:18Z |
|
dc.date.available |
2022-04-13T02:40:18Z |
|
dc.date.issued |
2022-03-25 |
|
dc.identifier.citation |
Robotica, 2022, pp. 1-25 |
|
dc.identifier.issn |
0263-5747 |
|
dc.identifier.issn |
1469-8668 |
|
dc.identifier.uri |
http://hdl.handle.net/10453/156179
|
|
dc.description.abstract |
<jats:title>Abstract</jats:title>
<jats:p>There has been an increasing interest in the application of robotic autonomous systems (RASs) for construction and mining, particularly the use of RAS technologies to respond to the emergent issues for earthmoving equipment operating in volatile environments and for the need of multiplatform cooperation. Researchers and practitioners are in need of techniques and developments to deal with these challenges. To address this topic for earthmoving automation, this paper presents a comprehensive survey of significant contributions and recent advances, as reported in the literature, databases of professional societies, and technical documentation from the Original Equipment Manufacturers (OEM). In dealing with volatile environments, advances in sensing, communication and software, data analytics, as well as self-driving technologies can be made to work reliably and have drastically increased safety. It is envisaged that an automated earthmoving site within this decade will manifest the collaboration of bulldozers, graders, and excavators to undertake ground-based tasks without operators behind the cabin controls; in some cases, the machines will be without cabins. It is worth for relevant small- and medium-sized enterprises developing their products to meet the market demands in this area. The study also discusses on future directions for research and development to provide green solutions to earthmoving.</jats:p> |
|
dc.language |
en |
|
dc.publisher |
Cambridge University Press (CUP) |
|
dc.relation.ispartof |
Robotica |
|
dc.relation.isbasedon |
10.1017/s0263574722000339 |
|
dc.rights |
info:eu-repo/semantics/embargoedAccess |
|
dc.subject |
0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering |
|
dc.subject.classification |
Industrial Engineering & Automation |
|
dc.title |
Robotic autonomous systems for earthmoving equipment operating in volatile conditions and teaming capacity: a survey |
|
dc.type |
Journal Article |
|
utslib.for |
0801 Artificial Intelligence and Image Processing |
|
utslib.for |
0906 Electrical and Electronic Engineering |
|
utslib.for |
0913 Mechanical Engineering |
|
pubs.organisational-group |
/University of Technology Sydney |
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology |
|
pubs.organisational-group |
/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure |
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering |
|
utslib.copyright.status |
open_access |
* |
utslib.copyright.embargo |
2022-09-22T00:00:00+1000Z |
|
dc.date.updated |
2022-04-13T02:40:08Z |
|
pubs.publication-status |
Published online |
|