Citation:

Jackson Andrew Srivathsan, 2025. "Synthetic People: Part II – Embodied Autonomy and Energy Systems of Coexistence in AI-Borg Architectures", ESP Journal of Engineering & Technology Advancements  5(4): 72-77.

Abstract:

The second part of the research "Synthetic People" delves into the representation of artificial consciousness, its interaction, and control as it gradually goes from inner thought to outer world interaction. The section discuss how artificial beings acquire their 'body,' how they understand and communicate through Sensory-Expressive Interfaces (SEIs), how they take care of themselves through self-reliant power sources, and if they are different and have their own rights in a world that has both humans and synthetic beings. An order is brought by the article: SEIs as the means of communication; energy as the enabler of freedom; body as the source of endurance; rights as the promoter of unfettered speech; the legal framework necessary for the management of the conflicts among humans, cyborgs and synthetic beings. Together, the authors argue that genuine autonomy is not an attribute of machines or society, but rather a state where cognition, embodiment, and ethics are all intricately linked in an unbroken chain of perception followed by self-expression and self-management. These articles serve as a prologue to the ethical and sustainable cohabitation of artificial and biological life thus constituting the groundwork of a shared intelligence civilization.

References:

[1] Picard, R. W. (1997). Affective Computing. MIT Press.

[2] Ekman, P., & Friesen, W. V. (1978). Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press.

[3] Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., et al. (2001). “Emotion recognition in human-computer interaction.” IEEE Signal Processing Magazine, 18(1), 32–80.

[4] Mehrabian, A. (1972). Nonverbal Communication. Aldine-Atherton.

[5] Cassell, J., Sullivan, J., Prevost, S., & Churchill, E. (Eds.). (2000). Embodied Conversational Agents. MIT Press.

[6] Pentland, A. (2014). Social Physics: How Good Ideas Spread – The Lessons from a New Science. Penguin Press.

[7] Morrison, D., & Silvera-Tawil, D. (2018). “Human–robot communication: Expressive behavior and empathy in social robotics.” Frontiers in Robotics and AI, 5, 116.

[8] Srivathsan, J. A. (2025). A systematic framework for Sensory-Expressive Interfaces (SEI) in human-machine interaction. TIJER – International Research Journal, 12(5), a274–a278. ISSN 2349-9249. https://www.tijer.org

[9] Goodenough, J. B., & Park, K. S. (2013). “The Li-ion rechargeable battery: A perspective.” Journal of the American Chemical Society, 135(4), 1167–1176.

[10] Landmark paper on lithium-ion and solid-state battery evolution; supports your “advanced battery technology” section.

[11] Xie, J., & Lu, Y. C. (2020). “A retrospective on lithium-ion batteries for electric vehicles and portable electronics.” Nature Communications, 11, 3829.

[12] Explores next-generation high-density and solid-state batteries for long-duration autonomy.

[13] Goldstein, B., et al. (2018). “Sustainability of autonomous systems: Energy harvesting and management.” IEEE Transactions on Sustainable Energy, 9(2), 711–721.

[14] Excellent technical grounding for “self-charging systems” and hybrid energy models.

[15] NASA. (2021). Radioisotope Power Systems (RPS) Overview. https://rps.nasa.gov/

[16] Official documentation on Curiosity and Perseverance RTGs; directly ties to your first use case.

[17] Zipline. (2022). Transforming healthcare with instant delivery. https://flyzipline.com/

[18] Validates your Rwanda drone example and distributed charging model.

[19] Musk, E. (2020). Neuralink: An Integrated Brain-Machine Interface Platform. Neuralink.

[20] Helps conceptually tie autonomy and energy management to integrated cognitive systems and neural efficiency.

[21] Arkin, R. C. (2009). Governing Lethal Behavior in Autonomous Robots. CRC Press.

[22] While focused on ethics, this text includes fundamental principles of robotic autonomy and power-dependence — ideal for connecting autonomy to self-sufficiency.

[23] Clark, A. (2003). Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence. Oxford University Press.

[24] Canonical work arguing that humans naturally extend cognition through tools and technology; perfectly supports your thesis that embodiment is flexible.

[25] Hayles, N. K. (1999). How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics. University of Chicago Press.

[26] Foundational text on digital embodiment, virtual identity, and the separation of consciousness from physical form.

[27] Brooks, R. A. (1991). “Intelligence without representation.” Artificial Intelligence, 47(1–3), 139–159.

[28] Key robotics paper introducing embodied intelligence; useful for your section on non-humanoid and distributed embodiments.

[29] Damasio, A. (2010). Self Comes to Mind: Constructing the Conscious Brain. Pantheon.

[30] Explains the biological relationship between the body and self-awareness; provides philosophical grounding for your “vessel” argument.

[31] Ihde, D. (2002). Bodies in Technology. University of Minnesota Press.

[32] Philosophical exploration of how humans interact with and through technological bodies; ideal for discussing ethical implications of synthetic embodiment.

[33] Boston Dynamics. (2023). Spot Product Overview. https://www.bostondynamics.com/

[34] Supports your use case on modular physical embodiment and robotic adaptability.

[35] Floridi, L. (2011). The Philosophy of Information. Oxford University Press.

[36] Offers a theoretical framework for understanding continuity of self and identity across physical and virtual embodiments.

[37] Floridi, L. (2013). The Ethics of Information. Oxford University Press.

[38] European Commission. (2018). General Data Protection Regulation (GDPR). Official Journal of the European Union, L119.

[39] Solove, D. J. (2021). Understanding Privacy (2nd ed.). Harvard University Press.

[40] Schneier, B. (2015). Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World. W. W. Norton & Company.

[41] Castells, M. (2009). Communication Power. Oxford University Press.

[42] Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.

[43] Calo, R. (2015). Robotics and the lessons of cyberlaw. California Law Review, 103(3), 513–563.

[44] Singer, P. W. (2009). Wired for War: The Robotics Revolution and Conflict in the 21st Century. Penguin Press.

[45] U.S. Department of Defense. (2022). Directive on Autonomous Weapon Systems. https://www.defense.gov/

[46] OSHA. (2021). Industrial Exoskeleton Safety Guidelines. https://www.osha.gov/

[47] Kali, H. (2023) ‘The Future Of Hr Cybersecurity: Ai-Enabled Anomaly Detection In Workday Security.’, INTERNATIONAL JOURNAL OF RECENT TECHNOLOGY SCIENCE & MANAGEMENT, 8(6). Available at: https://doi.org/10.10206/IJRTSM.2025803096.

[48] Maddali, G. (2025) ‘An Efficient Bio-Inspired Optimization Framework for Scalable Task Scheduling in Cloud Computing Environments’, International Journal of Current Engineering and Technology, 15(3).

[49] Menghnani, M. (2025) ‘Modern Full Stack Development Practices for Scalable and Maintainable Cloud-Native Applications’, 10(2). Available at: https://doi.org/doi.org/10.5281/zenodo.14959407.

[50] Panchal, V. (2025) ‘DESIGNING FOR LONGER BATTERY LIFE: POWER OPTIMIZATION STRATEGIES IN MODERN MOBILE SOCS’, INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING AND TECHNOLOGY, 16(1), pp. 1–17. Available at: https://doi.org/10.34218/IJEET_16_01_001.

[51] Patel, R. and Patel, P. (2022) ‘A Survey on AI-Driven Autonomous Robots for Smart Manufacturing and Industrial Automation’, Technix International Journal for Engineering Research, 9(2), pp. 46–55. Available at: https://doi.org/10.56975/tijer.v9i2.158819.

[52] Patel, R. and Tandon, R. (2021) ‘Advancements in Data Center Engineering: Optimizing Thermal Management, HVAC Systems, and Structural Reliability’, International Journal of Research and Analytical Reviews, 8(2).

[53] Prajapati, Vikas, V.M. (2025) ‘A Review of AR/VR Technologies in Simulation-Based Learning: Current Trends and Future Directions Article Sidebar’, Journal of Global Research in Electronics and Communications (JGREC), 1(1), pp. 1–6. Available at: https://doi.org/https://doi.org/10.5281/zenodo.15001647.

[54] Rajavel, V. (2025) ‘Integrating Power-Saving Techniques into Design for Testability of Semiconductors for Power-Efficient Testing’, The American Journal of Engineering and Technology, 07(03), pp. 243–251. Available at: https://doi.org/10.37547/tajet/Volume07Issue03-22.

[55] Singh, S. (2025) ‘Enhancing Observability and Reliability in Wireless Networks with Service Mesh Technologies’, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 5(1). Available at: https://doi.org/10.48175/568.

[56] Tandon, R. and Patel, D. (2021) ‘Evolution of Microservices Patterns for Designing HyperScalable Cloud-Native Architectures’, ESP Journal of Engineering & Technology Advancements, 1(1), pp. 288–297. Available at: https://doi.org/10.56472/25832646/JETA-V1I1P131.

[57] Thangaraju, V. (2025) ‘Enhancing Web Application Performance and Security Using AI-Driven Anomaly Detection and Optimization Techniques’, International Research Journal of Innovations in Engineering and Technology (IRJIET), 9(3). Available at: https://doi.org/47001/IRJIET/2025.903027.

Keywords:

Sensory-Expressive Interfaces (SEIs), Artificial Autonomy, Cognitive-Embodiment Loop, Synthetic Ecosystems, Cyborg Relations, Synthetic Ecosystems.