The American Journal of Engineering and Technology
37
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TYPE
Original Research
PAGE NO.
37-43
10.37547/tajet/Volume07Issue02-07
OPEN ACCESS
SUBMITED
16 December 2024
ACCEPTED
18 January 2025
PUBLISHED
20 February 2025
VOLUME
Vol.07 Issue02 2025
CITATION
Pavel Sidorov. (2025). Challenges and solutions in the integration of robotic
systems into existing infrastructure. The American Journal of Engineering
and Technology, 7(02), 37
–
43.
https://doi.org/10.37547/tajet/Volume07Issue02-07
COPYRIGHT
© 2025 Original content from this work may be used under the terms
of the creative commons attributes 4.0 License.
Challenges and solutions
in the integration of
robotic systems into
existing infrastructure
Pavel Sidorov
Field engineer at Swisslog healthcare, Irvine, CA, USA
Abstract:
This article examines the features, challenges,
and potential solutions associated with the integration
of robotic systems into existing infrastructure. The
relevance of this topic is driven by the widespread
implementation of robotics across various sectors,
including industry, logistics, agriculture, and other
fields. The objective of this study is to systematize
existing approaches and perspectives on integration
processes, analyze key contradictions in scientific
literature, and identify underexplored aspects that
hinder the effective deployment of these technologies.
Discrepancies in the literature are linked to the lack of
standardization in system architectures, limited real-
world validation of control algorithms, and insufficient
attention to legal considerations. It is concluded that
successful integration requires a systematic approach
encompassing standardization, the development of
advanced control algorithms, adaptation of cloud
technologies, and the mandatory consideration of social
factors.
The author's contribution lies in structuring modern
trends in integration strategies, including the shift
towards modularity, scalability, active use of artificial
intelligence, standardization, cloud-based solutions,
and hybrid interaction systems. Additionally, research
gaps are identified. The presented findings will be
valuable for developers of robotic solutions, automation
researchers, and enterprise managers planning the
implementation of robotic systems.
Keywords:
Control algorithms, system architecture,
integration,
infrastructure,
robotics,
simulation,
standardization.
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Introduction:
Modern technological advancements
have driven the rapid development of robotics, making
it an indispensable and highly sought-after technology
across various industries, including manufacturing,
healthcare, logistics, and agriculture. However, the
integration of robotic systems into existing
infrastructure presents numerous challenges and
obstacles, which can be attributed to technological,
economic, and social determinants.
The primary objective of these integration processes is
to achieve a synergistic effect, where robotic solutions
not only replace or complement existing infrastructure
elements but also create new opportunities for:
●
Optimization of operations
●
Improvement of accuracy
●
Reduction of resource consumption
●
Mitigation of various risks
The main challenge in the current landscape is the
timely identification of barriers to robotic integration
and the development of effective approaches to
overcoming them. Addressing these challenges
requires minimizing associated risks while maximizing
the benefits of deploying robotic systems.
METHODS
The reviewed literature on the discussed topic can be
categorized into the following areas: system
architectures, control and planning algorithms,
specialized applications of robotics, and market
aspects of integration.
Studies by L. Siefke, V. Sommer, and co-authors [7]
emphasize
a
decentralized
service-oriented
architecture for implementing robotic systems,
enhancing the flexibility and scalability of robotic
solutions. M. Marschall and colleagues [4] employ
modeling and simulation methods to determine the
optimal number of mobile robots required for
reconfigurable
modular
production
systems,
demonstrating the significance of simulation-based
approaches in system design.
Issues related to control and planning algorithms are
extensively covered in the works of J. Gómez, Ch.
Treesatayapun, A. Morales [2], Zh. Yu, K. Pang, Ch. Hua
[10]. These studies describe identification methods
based on feedback from optical sensors, which are
crucial for precise positioning. Approaches to global
compositional learning with constraints on tracking
errors are proposed, significantly contributing to the
resilience and adaptability of control mechanisms. P.
Tavares and co-authors [8] examine optimal trajectory
planning algorithms adapted for systems with high
redundancy, addressing challenges related to spatial
constraints in real-world environments.
Publications on specialized applications of robotics
highlight its use in specific industries. R. Yu. Polyakov [5]
explores portable aerial systems for early fire source
detection, emphasizing their importance for monitoring
tasks. S.K. Kota and Sh.S. Thakur [3] analyze control
mechanisms based on programmable flight plans, which
are relevant for autonomous logistics and aerial surveys.
G.P. Vinogradov [9] studies intelligent control schemes,
focusing on adaptive behavior models.
Economic aspects are discussed in the work of R.
Sharma [6], who analyzes market trends and challenges
in integrating robotic solutions. Additionally, in the
context of cloud technologies and their role in robotics,
V. Dawarka and G. Bekaroo [1] conduct a systematic
analysis demonstrating their potential for improving
interaction and management on a global scale.
The
literature
review
has
revealed
several
contradictions. While architectural solutions and
decentralized approaches are actively discussed in
academic research, their practical implementation
requires
further
investigation
in
terms
of
standardization
and
compatibility.
Algorithms,
particularly those incorporating asymmetric constraints,
need
additional
validation
to
confirm
their
effectiveness. The market availability of robotic
technologies remains insufficiently linked to technical
and social aspects, such as workforce training and
ethical considerations.
Certain aspects, including cybersecurity challenges and
legal issues of integration, remain underexplored. This
results in gaps in understanding the risks associated
with large-scale deployment of robots.
The study employs methods of comparative analysis,
statistical
evaluation,
systematization,
and
generalization.
RESULTS AND DISCUSSION
The integration of robotic systems into existing
infrastructure involves the synchronization and
adaptation of robotic complexes with pre-existing
elements, including:
●
Technological components
●
Organizational structures
●
Information systems
This process encompasses their implementation in
manufacturing, logistics, healthcare, construction, and
other sectors to enhance efficiency, productivity, safety,
and resilience [2, 8].
The global robotics system integration market was
estimated at approximately $8.5 billion in 2023 and is
projected to reach around $21 billion by 2032, growing
at a compound annual growth rate (CAGR) of 10.7%
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The American Journal of Engineering and Technology
from 2024 to 2032 [6] (Fig. 1).
Fig. 1. Projected dynamics of the global robotics system integration market, billion US dollars (compiled by
the author based on [6])
The essence of integration efforts lies in ensuring
compatibility between new technological solutions
and established system architectures, including:
●
Equipment
●
Software
●
Communication protocols
●
Human resource management [2, 5, 8]
It is particularly important to emphasize that this
process requires not only the modernization of
technical resources but also a revision of approaches to
workflow organization, workforce training, and
regulatory adjustments.
The analyzed integration process is influenced by key
trends that reflect technological advancements,
economic realities, and societal dynamics (Fig. 2). These
trends define the directions for adapting robotics and
the pathways for its inclusion in traditional industries.
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The American Journal of Engineering and Technology
Fig. 2. Trends in the integration of robotic systems into the existing infrastructure (compiled by the author
based on [1-3, 8, 10])
Modern developments are increasingly being designed
with modularity principles in mind, allowing
enterprises to adapt robots to existing processes. The
use of standardized interfaces and modular
constructions enables the expansion of functionality as
needed while maintaining compatibility with legacy
equipment.
The advancement of artificial intelligence contributes
to increased autonomy. Machine learning and data
analysis allow robots to adapt to the specifics of
existing processes and interact with other systems in
real-time,
minimizing
the
need
for
manual
configuration.
One of the most prominent trends is the development
of international standards aimed at simplifying the
integration of robotic solutions. This includes the
unification of communication protocols, interfaces, and
connection methods, reducing both time and financial
costs.
The transition to cloud-based robot management
platforms significantly accelerates integration steps by
reducing dependence on local infrastructure. This
Trends
Transition to modularity, scalability
Integration of artificial intelligence
Unification of standards
Using cloud technologies
Hybrid interaction systems
Focus on environmental sustainability
Implementation of the concept of "smart"
environments
Focus on safety
Economic accessibility of robotics
Focus on social adaptation, learning
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approach provides centralized access to data,
analytics, and control algorithms.
The growing popularity of hybrid systems that combine
human and robotic labor highlights the importance of
developing human-centered interfaces. These systems
incorporate technologies such as speech recognition,
gesture control, and biometric signals, facilitating
smoother integration into the work environment.
The trend of using robotic solutions to achieve
sustainable development goals is rapidly gaining
momentum. Robots are increasingly employed to
enhance energy efficiency, reduce waste, and
contribute
to
environmentally
oriented
infrastructures.
The issue is also being explored in the context of smart
manufacturing, cities, and buildings. In this case,
multiple devices and sensors are integrated into a
unified network where robots play a key role in
monitoring, maintenance, and automation tasks.
Amid increasing security requirements, the integration
of robotics is accompanied by the implementation of
failure prevention and cybersecurity measures. This is
particularly crucial for autonomous vehicles and medical
robots.
The decreasing cost of robotic solutions, driven by mass
production and technological advancements, expands
access to integration processes. This creates additional
opportunities for small and medium-sized enterprises
that previously could not afford to implement such
systems.
Finally, greater emphasis on training and retraining
personnel facilitates integration. Programs focused on
developing skills for interacting with robots are being
introduced, reducing employee resistance and
significantly accelerating the adoption of these
technologies.
Regarding the systematization of challenges, it is
appropriate to categorize them into three groups (Fig.
3).
Fig. 3. Identification of groups of problems of integration of robotic systems into the existing infrastructure
(compiled by the author on the basis of [3, 8, 9])
When discussing the technological aspect, one of the
key challenges is the incompatibility of robotic systems
with existing technical standards and equipment.
Many enterprises continue to operate machinery
designed decades ago, which was not intended for
integration with robotic modules. This necessitates
either modernization or a complete replacement of
outdated systems, requiring substantial financial
investment.
Another significant issue relates to software
development. Robots require the integration of
complex control algorithms, which are often
incompatible with existing information systems.
Developing universal protocols for seamless interaction
between different platforms remains a highly complex
task.
Additionally, reliability and safety concerns play a
decisive role. The deployment of autonomous vehicles
or industrial robots introduces risks of unforeseen
malfunctions, which can lead to substantial financial
losses or even pose threats to human life.
Technological
barriers to
integration
Economic aspects
Social challenges
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From an economic standpoint, the integration of
robotics demands significant investment not only in
equipment but also in workforce training, adaptation
of
production
processes,
and
infrastructure
modernization.
For
small
and
medium-sized
enterprises, such expenditures are often prohibitive.
Furthermore, many organizations face low profitability
of robotic systems during the initial phases of
implementation, which reduces motivation for
adoption.
Social perception is also a central factor in integration
processes. Concerns about job losses, exacerbated by
low awareness of workforce retraining opportunities,
lead to resistance from employees and labor unions. In
some cases, this results in delays in automation
projects.
Ethical and regulatory issues provoke significant
debate. For instance, the use of robotic systems in
medicine requires strict oversight to ensure patient
rights are protected, while autonomous vehicles raise
questions of liability in the event of accidents.
To address the issue of system incompatibility, the
implementation of standardized protocols to unify
equipment is necessary. International organizations
and governmental bodies must play a key role in
developing uniform standards and documentation.
A promising strategy involves the previously
mentioned modular approach to robotic system
design, which enables equipment to be adapted to the
specific needs of businesses. The use of artificial
intelligence to optimize interaction also contributes
positively to increased flexibility.
Economic barriers can be overcome through subsidy
programs and tax incentives for companies adopting
robotics. An essential element is the development of
educational programs focused on retraining personnel
for automated production environments.
Social challenges can be mitigated through public
awareness campaigns that highlight the benefits of
robotics. It is important to emphasize that automation
does not eliminate jobs but rather transforms the labor
market, creating numerous new opportunities for
skilled professionals.
CONCLUSIONS
The integration of robotic systems into existing
infrastructure is a complex yet essential process in
ensuring the sustainable development of modern
industries. The transition toward modularity and
scalability, active involvement of artificial intelligence,
standardization, the use of cloud technologies, hybrid
interaction systems, emphasis on environmental
sustainability, implementation of smart environments,
focus on security, economic accessibility of robotics, and
social
adaptation
through
training
are
all
interconnected trends that reflect the global trajectory
toward the widespread adoption of robotics in practical
applications. These trends contribute to the formation
of adaptive, resilient, and highly efficient infrastructures
that meet the demands of the modern world.
Overcoming the technological, economic, and social
barriers outlined in this study requires a systematic
approach that relies on technical innovation, economic
support, and public engagement. Only through
coordinated efforts among various stakeholders can the
effective implementation of robotics be achieved,
leading to progress and a significant improvement in
quality of life.
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