TECHMECHA ROBOSPHERE

A Global Journal on Intelligent Automation, Mechatronics,
Robotics, Engineering, Management, and Sustainable Innovation
ISSN Online: 3155-6019

Open access

About this journal

Aims and scope

TechMecha RoboSphere: A Global Journal on Intelligent Automation, Mechatronics, Robotics, Engineering, Management, and Sustainable Innovation is a quarterly, international, peer-reviewed, open-access scholarly publication of the Mechatronics and Robotics Society of the Philippines (MRSP), with VMC Analytiks as its publishing arm and partner. Dedicated to advancing knowledge, innovation, and transformative applications in intelligent systems, automation, robotics, mechatronics, artificial intelligence, engineering, technology management, governance, and sustainable development, the journal serves as a multidisciplinary platform for researchers, engineers, scientists, educators, industry practitioners, business leaders, and policymakers to disseminate original research, applied studies, technical developments, case studies, and comprehensive reviews that contribute to technological progress and societal advancement.

The journal emphasizes the convergence of intelligent technologies, cyber-physical systems, digital transformation, engineering innovation, organizational excellence, and sustainable governance in addressing the challenges of the Fourth and Fifth Industrial Revolutions. It promotes research that integrates scientific discovery, engineering practice, management strategies, and public policy to create innovative solutions for industry, infrastructure, education, healthcare, business enterprises, government institutions, and communities. Through this interdisciplinary approach, TechMecha RoboSphere seeks to bridge the gap between technological innovation and its practical implementation for economic growth, environmental stewardship, and social impact.

As a platform for rigorous and globally relevant scholarship, TechMecha RoboSphere encourages contributions that bridge theoretical knowledge and practical applications while addressing the ethical, social, cultural, economic, and environmental dimensions of innovation. The journal welcomes research that advances intelligent automation, robotics, mechatronics, artificial intelligence, smart manufacturing, resilient infrastructure, digital transformation, engineering management, construction management, business innovation, public governance, and sustainable development. It further promotes studies that enhance scientific discovery, technological advancement, industrial competitiveness, organizational excellence, educational transformation, and evidence-based policymaking within the evolving contexts of Industry 5.0 and Society 5.0. By fostering collaboration among academia, industry, government, and communities, TechMecha RoboSphere seeks to support the achievement of the United Nations Sustainable Development Goals (SDGs) and contribute to the development of intelligent, resilient, inclusive, and future-ready societies.

Research Tracks

  1. Intelligent Automation and Robotics. This track focuses on the development, integration, and application of intelligent robotic and automated systems that enhance productivity, efficiency, safety, and human-machine collaboration.

Topics include:

  • Industrial and service robotics
  • Autonomous and intelligent robotic systems
  • Human-robot interaction and collaboration
  • Humanoid robotics
  • Mobile robots and autonomous vehicles
  • Robot perception, sensing, and navigation
  • Swarm and cooperative robotics
  • Robotic process automation (RPA)
  • Soft robotics and bio-inspired robotics
  • Robotics for healthcare, agriculture, and public services
  1. Mechatronics and Cyber-Physical Systems. This track covers interdisciplinary innovations integrating mechanical systems, electronics, computing, and intelligent control technologies.

Topics include:

  • Mechatronic system design and integration
  • Embedded systems and real-time computing
  • Cyber-physical systems
  • Sensor technologies and instrumentation
  • Intelligent actuators and control systems
  • Digital twins and virtual prototyping
  • Smart machines and autonomous systems
  • Robotics-enabled manufacturing systems
  • Edge and embedded intelligence
  1. Artificial Intelligence, Data Science, and Computational Intelligence. This track highlights advances in AI-driven solutions that enable intelligent decision-making, predictive analytics, and adaptive systems.

Topics include:

  • Machine learning and deep learning
  • Generative AI and large language models
  • Computer vision and image processing
  • Natural language processing
  • Data science and predictive analytics
  • Reinforcement learning
  • Explainable and trustworthy AI
  • AI ethics and responsible innovation
  • Intelligent decision support systems
  • AI applications in engineering, healthcare, education, and governance
  1. Smart Manufacturing and Industry 5.0. This track explores technologies and methodologies transforming modern industries toward intelligent, sustainable, and human-centric production systems.

Topics include:

  • Industry 4.0 and Industry 5.0 technologies
  • Smart factories and digital manufacturing
  • Industrial Internet of Things (IIoT)
  • Additive manufacturing and 3D printing
  • Digital supply chains
  • Manufacturing analytics
  • Predictive maintenance
  • Lean and intelligent production systems
  • Sustainable manufacturing technologies
  • Human-centered automation
  1. Information, Communication, and Digital Technologies. This track addresses innovations in digital infrastructures, computing systems, and connected technologies.

Topics include:

  • Internet of Things (IoT)
  • Cloud and edge computing
  • Wireless communication systems
  • Computer networks and distributed systems
  • Blockchain technologies
  • Smart city technologies
  • Digital transformation strategies
  • Human-computer interaction
  • Information systems innovation
  • Emerging computing paradigms
  1. Cybersecurity, Digital Trust, and Resilient Systems. This track focuses on securing digital ecosystems and developing trustworthy intelligent technologies.

Topics include:

  • Cybersecurity and cyber defense
  • Digital forensics
  • Privacy-preserving technologies
  • Secure AI systems
  • Industrial control system security
  • Critical infrastructure protection
  • Blockchain security
  • Risk assessment and resilience engineering
  • Ethical hacking and penetration testing
  • Governance, compliance, and digital trust
  1. Sustainable Engineering, Smart Infrastructure, and Emerging Innovations. This track promotes engineering solutions that address global sustainability challenges and societal needs.

Topics include:

  • Renewable and sustainable energy systems
  • Green technologies and environmental engineering
  • Smart buildings and intelligent infrastructure
  • Climate-responsive engineering solutions
  • Circular economy technologies
  • Smart transportation systems
  • Disaster resilience and risk reduction technologies
  • Sustainable urban development
  • Advanced materials and nanotechnology
  • Technology for sustainable development goals (SDGs)
  1. Education, Management, and Societal Applications of Technology. This track examines how emerging technologies transform education, organizations, and society.

Topics include:

  • AI in education and learning analytics
  • Educational technologies and digital pedagogy
  • Technology management and innovation
  • Engineering education
  • Digital leadership and governance
  • Technology adoption and diffusion
  • Ethics, policy, and regulation of emerging technologies
  • Entrepreneurship and technopreneurship
  • Workforce development and future skills
  • Social impact of intelligent technologies
  1. Management, Governance, and Sustainable Development

This track focuses on the application of management principles, governance frameworks, innovation strategies, and sustainable practices to improve organizational performance, infrastructure development, public service delivery, and societal well-being.

Topics include:

  • Engineering and Technology Management
  • Construction and Infrastructure Management
  • Project and Operations Management
  • Quality, Risk, and Performance Management
  • Innovation and Strategic Management
  • Business Analytics and Digital Transformation
  • Entrepreneurship and Technopreneurship
  • Supply Chain and Logistics Management
  • Public Administration and Governance
  • E-Government and Smart Governance
  • Policy Development and Technology Regulation
  • Disaster Risk Reduction and Management
  • Sustainable Development and ESG Practices
  • Organizational Leadership and Change Management
  • Community Development and Social Innovation

Industry, Government, and Academic Collaboration

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Editorial board

The editorial leadership of TechMecha RoboSphere is composed of internationally engaged experts drawn from diverse yet interconnected fields such as robotics, artificial intelligence, systems engineering, digital transformation, and sustainable innovation. Bringing together professionals from academia, industry, and policy environments, the board reflects a strong blend of technical depth, research excellence, and real-world application. Their backgrounds include advanced engineering practice, innovation management, interdisciplinary research, and strategic governance, enabling a balanced and forward-thinking approach to scholarly evaluation.

Guided by a commitment to advancing intelligent and responsible technologies, the board ensures that published works not only contribute to scientific and engineering knowledge but also address pressing societal, environmental, and economic challenges. By championing integrative research that connects theory with implementation, they help position the journal as a dynamic platform for cutting-edge ideas, practical solutions, and collaborative innovation in support of resilient, technology-driven, and future-ready global communities.

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Dr. Arvin R. Dela Cruz

Chairperson, Master of Science/PhD in Computer Engineering Polytechnic University of the Philippines, Philippines

Editor-in-Chief
TechMecha RoboSphere
ICT systems and software development, Computer Engineering and applied innovations, Digital transformation and e‑learning systems, Robotics, mechatronics, and automation technologies, Network security and systems architecture, Project management and strategic planning in ICT

Dr. Anthony James C. Bautista

Professor I, Faculty of Engineering University of Santo Tomas, Philippines

Associate Editor
TechMecha RoboSphere
Agricultural Robotics & Precision Farming, Service Robotics, Autonomous Navigation Systems, Mechatronics Engineering, Unmanned Aerial and Ground Systems, Robotics for Disaster & Environmental Applications, Engineering Education & Robotics-Based Learning

Dr. Dennis B. Gonzales

Faculty, College of Engineering University of the East, Philippines

Associate Editor
TechMecha RoboSphere
Artificial Intelligence & Machine Learning, Data Analytics & Business Intelligence, Software Engineering, Information Systems & Database Management, Intelligent Systems & Recommender Systems, E-Learning Systems & Educational Technology, Web & Application Development

Dr. Marvin O. Mallari

Dean, School of Engineering, Computer and Library Studies Holy Cross College, Philippines

Associate Editor
TechMecha RoboSphere
Computer Engineering, Internet of Things (IoT) Systems, Artificial Intelligence & Machine Learning, Embedded Systems & Microcontroller Applications, Data Science & Analytics, Information Systems & Software Development, Engineering Management & Technology Innovation

Dr. Rufo I. Marasigan, Jr.

Faculty, Computer Engineering/Graduate Studies/OUS Polytechnic University of the Philippines, Philippines

Associate Editor
TechMecha RoboSphere
Artificial Intelligence & Machine Learning, Computer Vision & Image Processing, Data Science & Analytics [6Marasigan, Embedded Systems & IoT, Blockchain Systems, Unmanned Aerial Systems & LiDAR Applications, Software Engineering & Web Development

Dr. Cherry D. Casuat

Asst. Professor, MS Computer Engineering/PhD Computer Engineering/OUS Polytechnic University of the Philippines, Philippines

Associate Editor
TechMecha Robosphere
Computer Engineering Systems, Artificial Intelligence Applications, Internet of Things Solutions, Smart Systems Development, Machine Learning Models, Knowledge Management Strategies, Educational Technology Innovation

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Dr. Romano Q. Neyra

Full Professor & Senior Director for Engineering Far Eastern University Institute of Technology, Philippines

Associate Editor
TechMecha Robosphere
Electronics Engineering, Electrical Engineering, Mechatronics & Robotics, Engineering Education, Quality Assurance & Accreditation in Engineering, Engineering Management & Administration, Applied Engineering Research

Dr. Nelson C. Rodelas

Faculty Member, College of Engineering University of the East, Philippines

Associate Editor
TechMecha Robosphere
Computer Engineering, Artificial Intelligence & Deep Learning, Computer Vision & Image Processing, Data Analytics & Decision Support Systems, Internet of Things (IoT) Systems, Software Systems & Application Development, E-Governance & Information Systems

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Journal indexing, cataloguing and archiving

In scholarly publishing, indexing, aggregating, cataloguing, and archiving are critical pillars that ensure a journal’s content is discoverable, accessible, and preserved for future generations. Indexing enhances the visibility of articles in global databases, aggregating consolidates research across platforms, cataloguing integrates journal holdings into institutional libraries, and archiving safeguards scholarly output in trusted repositories.

As a promising publication in the field of business and management, Business Fora is committed to achieving recognition and accessibility through inclusion in leading indexing bodies and repositories. This dedication reflects the journal’s vision to serve as a trusted platform for entrepreneurs, scholars, and practitioners worldwide. By fostering rigorous research and timely dissemination, Business Fora aspires to advance knowledge, encourage dialogue, and strengthen the global community of business and management professionals.

Indexed by

  • Crossref – Provides Digital Object Identifiers (DOIs) and metadata, ensuring persistent citation linking and discoverability across scholarly platforms.

Catalogued by

  • Harvard University HOLLIS Library – Catalogues BF in Harvard’s discovery system, expanding visibility to one of the world’s largest academic communities.
  • University of California Berkeley Library – Integrates BF into its academic catalog, making the journal accessible to students and researchers.
  • University of California Los Angeles Library – Catalogues BF within its holdings, supporting educational and pedagogical research.

Aggregated by

  • Scilit – Aggregates BF’s metadata and articles, enhancing discoverability through MDPI’s comprehensive scholarly database.
  • Semantic Scholar – Uses AI-driven aggregation to index BF’s articles, improving searchability and contextual relevance for education and pedagogy research.
  • Scispace – Aggregates articles by sourcing metadata, indexing research papers, and organizing them into accessible thematic collections.
  • Mendeley – Aggregates articles by importing metadata from publishers and databases, indexing research outputs, and organizing them into searchable libraries for citation management, collaboration, and academic discovery.

Archived in

  • Internet Archive – Ensures long-term preservation of BF’s content, safeguarding scholarly contributions against digital loss and maintaining open access for future researchers.

Through partnerships with indexing services (Crossref), aggregators (Scilit, Semantic Scholar, Scispace, Mendeley), cataloguers (UC Berkeley, UCLA, Harvard HOLLIS), and archiving repositories (Internet Archive), Business Fora (BF) guarantees that its publications are discoverable, accessible, and preserved. This multi-layered approach strengthens BF’s role as a reliable and enduring resource in the advancement of education and pedagogy.

Author Appeals
In cases where an article is yet to be indexed, aggregated, catalogued, or archived, authors are encouraged to contact the Executive Editor and make an appeal. A window of 4 to 6 weeks should be allowed for the processing of such appeals and for receiving a formal response. Business Fora (BF) assures that all appeals forwarded will be addressed accordingly, ensuring transparency and accountability in the journal’s dissemination process.

Contact: Executive Editorvmcajala@digi-journalphils.com

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