Zach Agioutantis

Dr. Zach Agioutantis

orcid

Research Focus & Metrics

Academic Career Length

39Years (1988-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2008 in Progress in Organic Coatings
Verified
Journal Article
Closed access
Pagona Noni MaravelakiPagona Noni Maravelaki
Pagona Noni Maravelaki
NKNikolaos Kallithrakas-Kontos
Nikolaos Kallithrakas-Kontos
ZAZach Agioutantis
Zach Agioutantis
SMS. Maurigiannakis
S. Maurigiannakis
DKD. Korakaki
D. Korakaki

1 May 2012 in Journal of Cleaner Production
Verified
Journal Article
Closed access
GBGian Andrea Blengini
Gian Andrea Blengini
EGElena Garbarino
Elena Garbarino
SŠSlavko Šolar
Slavko Šolar
DSDeborah J. Shields
Deborah J. Shields
THTamás Hámor
Tamás Hámor
ZAZach Agioutantis
Zach Agioutantis

1 October 2006 in Progress in Organic Coatings
Verified
Journal Article
Closed access
Pagona Noni MaravelakiPagona Noni Maravelaki
Pagona Noni Maravelaki
NKNikolaos Kallithrakas-Kontos
Nikolaos Kallithrakas-Kontos
DKD. Korakaki
D. Korakaki
ZAZach Agioutantis
Zach Agioutantis
SMS. Maurigiannakis
S. Maurigiannakis

9 October 2024 in Machines
Verified
Journal Article
Open access
PDF file
MLMichael Long
Michael Long
SSSteven J Schafrik
Steven J Schafrik
PKPeter Kolapo
Peter Kolapo
ZAZach Agioutantis
Zach Agioutantis
JSJoseph Sottile
Joseph Sottile
The mining industry is undergoing a transformative shift driven by the rapid advancement and adoption of automation technologies. This paper provides a comprehensive overview of the current state of automation in mining, examining the technological advancements, their applications, and the prospects of automation in this critical industry. A key focus of this paper is the impact of automation on the safety and efficiency of mining operations. Highlighting the successful implementation of Automated Haul Truck Systems (AHSs) in surface mining. Additionally, this paper explores the development of automation in underground mining and its challenges, particularly limitations in communication and localization, which hinder the development and deployment of fully autonomous systems. It also provides an exploration of the challenges associated with widespread automation adoption in mining, including high initial investment costs, concerns about job displacement, and the need for specialized skills and training. Looking toward future advancements in enabling technologies will be critical for furthering automation in mining. Machine learning and AI will play an increasingly critical role in intelligent automation, enabling autonomous systems to adapt to dynamic environments, optimize processes, and make informed decisions. This paper provides a look into human–robot collaboration in the future of mining. As the industry transitions toward greater automation, it is essential to consider the evolving roles of human workers to foster a collaborative work environment. This involves prioritizing human safety, providing adequate training, and addressing concerns about job displacement to ensure a smooth transition toward a more automated future.

1 February 2013 in Cement and Concrete Composites
Verified
Journal Article
Closed access
Pagona Noni MaravelakiPagona Noni Maravelaki
Pagona Noni Maravelaki
ZAZach Agioutantis
Zach Agioutantis
ELEustratios Lionakis
Eustratios Lionakis
MSMaria Stavroulaki
Maria Stavroulaki
VPVasileios Perdikatsis
Vasileios Perdikatsis

1 January 2017 in International Journal of Mining Science and Technology
Verified
Journal Article
Open access
CNChristopher Newman
Christopher Newman
ZAZach Agioutantis
Zach Agioutantis
GLGabriel Boede Jimenez Leon
Gabriel Boede Jimenez Leon