Integrating Artificial General Intelligence into Robotic Systems: A Pathway Toward Superintelligent Autonomous Machines
Keywords:
- Artificial general intelligence,
- Robotics,
- Superintelligence,
- Autonomous systems,
- Human–AI interaction,
- AI ethics,
- Intelligent machines,
- Future technology
Abstract
The Artificial Intelligence (AI) and robots are at a high level, which has led to the new point of intersection and is changing the future of autonomous systems. Particularly, the integration of Artificial General Intelligence (AGI) into the architecture of robotic systems is a significant step towards development of superintelligent robots capable of conducting human reasoning, learning and making decisions in different settings. This paper is an analysis of the technological, social and ethical implications of AGI robotics integration, the ability to transform and the challenges that it presents.
The discussions in this paper rely on the narrative review method of a qualitative research to analyze the current advancements and future prospects of computer science, engineering, economics and policy studies through interdisciplinary literature. This review concludes that AGI motivated robotics can enhance adaptability, autonomy and efficiency by a substantial degree in the complex real-world task of healthcare, manufacturing and transportation. However, the outcomes also reveal occurrence of severe problems related to system reliability, algorithm bias, transparency and control particularly upon the increase to autonomy and intelligence of systems.
Furthermore, the transition toward superintelligent autonomous machines introduces profound governance challenges, including accountability, ethical alignment and global regulatory coordination. The paper concludes that despite the unprecedented opportunities of innovation and social advancements, AGI-integrated robotics require well-developed safety mechanisms, humanist design ideas and reactive policy instruments to be developed. The primary issue that the future research must face is explainability, sustainability and equitable access to ensure that the benefits of superintelligent systems are maximised and the threats are minimised productively.
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References
1. O’Hara PA (2022) Artificial general intelligence and autonomous humanoid robotics. In Principles of Institutional and Evolutionary Political Economy: Applied to Current World Problems. Singapore: Springer Nature Singapore 195-250.
2. Giri A, Das SR, Joy AZMJU, Akib ASM, Misat MMH, et al. (2025) Smart IoT egg incubator system with machine learning for damaged egg detection. In International conference on WorldS4. Springer, Cham 236-245.
3. Gulchenko V (2024) Navigating the risks: An examination of the dangers associated with artificial general intelligence and artificial superintelligence. SSRN. [Crossref] [GoogleScholar]
4. Peters TF (2025) Machine intelligence, artificial general intelligence, super-intelligence and human dignity. Religions 16(8): 975.
5. Vsevolodovna RIM (2025) A Roadmap to Superintelligence: Architectures, Transformations and Challenges in Modern AI Development.
6. Raman R, Kowalski R, Achuthan K, Iyer A, Nedungadi P (2025) Navigating artificial general intelligence development: societal, technological, ethical and brain-inspired pathways. Scientific Reports 15(1): 8443.
7. Cai H, Cai T (2024) Artificial general intelligence as a continuum of intelligence and consciousness. In International Conference on Haptics and Virtual Reality. Cham: Springer Nature Switzerland 199-205.
8. Uddin AZMJ, Begum MR, Akib AAS, Islam K, Hasib A, et al. (2025) LungNet: An interpretable machine learning framework for early lung cancer detection using structured clinical data. In 2025 IEEE 13th Conference on Systems, Process & Control (ICSPC). IEEE 181-186.
9. Mumuni A, Mumuni F (2025) Large language models for Artificial General Intelligence (AGI): A survey of foundational principles and approaches. arXiv:2501.03151.
10. Giri A, Akib AAS, Uddin AZMJ, Rahman MS, Hasib A, et al. (2025) Edubot: A low-cost multilingual AI educational robot for inclusive and scalable learning. In 2025 3rd International Conference on Artificial Intelligence, Blockchain and Internet of Things (AIBThings). IEEE 1-6.
11. Roli A, Jaeger J, Kauffman SA (2022) How organisms come to know the world: Fundamental limits on artificial general intelligence. Frontiers in Ecology and Evolution 9: 806283.
12. Ghosh R, Doss S (2025) Shaping tomorrow: The convergence of artificial general intelligence and quantum computing. In Interplay of Artificial General Intelligence with Quantum Computing: Towards Sustainability. Cham: Springer Nature Switzerland 1-10.
13. Giri A, Hasib A, Islam M, Tazim MF, Rahman MS, et al. (2025) Real-time human fall detection using yolov5 on raspberry pi: An edge ai solution for smart healthcare and safety monitoring. In International Conference on Data Analytics & Management. Cham: Springer Nature Switzerland 493-507.
14. Mostufa S, Chakrabarti K (2024). A genre of cognitive evolutions through artificial superintelligence and robotics technology. In Brain-like Super Intelligence from Bio-Electromagnetism. Singapore: Springer Nature Singapore. 153-187.
15. Buttazzo G (2023) Rise of artificial general intelligence: risks and opportunities. Frontiers in artificial intelligence 6: 1226990.
16. Akib AAS, Uddin AZMJ, Giri A, Islam M, Arafat ME, et al. (2025) Efficient route planning and navigation in drones using pixhawk autopilot. In 2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC). IEEE. 138-145.
17. Zhang P, Zhang H, Xu H, Xu R, Wang Z, et al. (2025) Scaling laws in scientific discovery with AI and robot scientists. arXiv preprint arXiv. 2503.22444.
18. Growiec J (2022) Bracing for artificial general intelligence. In Accelerating Economic Growth: Lessons From 200,000 Years of Technological Progress and Human Development. Cham: Springer International Publishing 155-179.
19. Perković G, Drobnjak A, Botički I (2025) Reaching Artificial General Intelligence (AGI): Challenges and opportunities. In 2025 MIPRO 48th ICT and Electronics Convention. IEEE 2133-2138.
20. Bikkasani DC (2025) Navigating artificial general intelligence (AGI): Societal implications, ethical considerations and governance strategies. AI and Ethics 5(3): 2021-2036.
21. Akib, AAS, Giri A, Islam M, Sifa FJ, Elahi TA, et al. (2024) Design and simulation of a quadruped robot. In International Conference on Data-Processing and Networking. Singapore: Springer Nature Singapore 373-385.
22. Hamilton JR, Maxwell SJ, Lynch RP (2023) Towards delivering AI & smarter, self-learning, autonomous, humanoid robots.
23. Dessureault JS, Lamontagne R, Parisé PO (2025) The ethics of creating artificial superintelligence: A global risk perspective. AI and Ethics 5(6): 6241-6263.
24. Hasib A, Akib ASM, Giri A (2026) HydroSense: A dual-microcontroller IoT framework for real-time multi-parameter water quality monitoring with edge processing and cloud analytics. arXiv preprint arXiv:2601.21595.
25. Masters K, Herrmann-Werner A, Festl-Wietek T, Taylor D (2024) Preparing for artificial general intelligence (AGI) in health professions education: AMEE guide no. 172. Medical Teacher 46(10): 1258-1271.
26. Anand S, Mohamed WMW (2025) Quantum algorithms for AGI: Unlocking the potential of superintelligence. In Interplay of Artificial General Intelligence with Quantum Computing: Towards Sustainability. Cham: Springer Nature Switzerland 107-122.
27. McIntosh TR, Susnjak T, Liu T, Watters P, Xu D, et al. (2025) From google Gemini to OpenAI Q*(Q-Star): A survey on reshaping the generative Artificial Intelligence (AI) research landscape. Technologies 13(2): 51.
28. Hasib A, Akib ASM, Ankur ND, Giri A (2026) Dual-modality IoT framework for integrated access control and environmental safety monitoring with real-time cloud analytics. arXiv preprint arXiv: 2601.20366.
29. Obaid OI (2023) From machine learning to artificial general intelligence: A roadmap and implications. Mesopotamian Journal of Big Data 2023: 81-91.
30. Giri A, 30 Akib AAS, Hasib A, Acharya A, Prithibi MA, et al. (2025) Design and development of a cost effective and modular cnc plotter for educational and prototyping applications. In 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI). IEEE. 1-6.
31. Prabhu 31 M, Premraj JA (2025) Artificial consciousness in AI: A posthuman fallacy. AI & SOCIETY 40(4): 2995-3008.
32. Alim MW, Giri A, Akib AAS, Uddin N, Islam M, et al. (2025) Affordable bionic hands with intuitive control through forearm muscle signals. In 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI). IEEE. 1-6.
