Open Access Open Access  Restricted Access Subscription Access

The Role of Humanoid Robots in Modern Society: A Technological Perspective

Athira KH, Aswathi U, Deena Jaleel, Dijesh P

Abstract


Humanoid robots are designed to replicate human-like abilities and integrate AI, cognitive architectures, and IoT for advanced autonomy. They exhibit sensory perception, decision-making, adaptability, and human-robot interaction, enabling them to function efficiently in real-world applications. Machine learning and deep learning enhance their intelligence, allowing them to learn from experiences and optimize performance.IoT plays a crucial role by enabling connectivity, automation, and remote monitoring, using Wi-Fi, Zigbee, RFID, and GSM modules for real-time communication. These advancements have expanded humanoid robot applications in healthcare, education, security, and personal assistance. Additionally, multi-robot systems enhance disaster response, using ground reconnaissance robots, aerial drones, and AI-driven navigation for search and rescue missions.Despite progress, challenges like common-sense reasoning, real-time adaptation, and ethical concerns remain. Future developments focus on improving AGI, human-like learning, and ethical AI frameworks, making humanoid robots more intelligent and socially integrated.

Full Text:

PDF

References


Y Pyo, K Nakashima, S Kuwahata, R Kurazume, T Tsuji, K Morooka and Tsutomu Hasegawa, Service Robot System with an Informationally Structured Environment, Robotics and Autonomous Systems, 2015, 74, (Part A), 148–165.

G ElKoura and K Singh, Handrix: Animating the Human Hand, Eurographics/Siggraph Symposium on Computer Animation, 2003.

I Virgala, M Kelemen, M Varga and P Kurylo, Analysing, Modelling and Simulation of Humanoid Robot Hand Motion, Procedia Engineering, 2014, 96, 489–499.

1. Sarma S (2016) IoT is not hype, but it’s also not some magic technology. Leslie D’Monte.

Landau DM (2016) How 5G will Power the Future Internet of Things. Iq Intel.

Roy U (2016) Internet of Things: Let devices do the talking. Tech News Technology.

Cantone, A. A., Esposito, M., Perillo, F. P., Romano, M., Sebillo, M., & Vitiello, G. (2023). Enhancing elderly health monitoring: Achieving autonomous and secure living through the integration of artificial intelligence, autonomous robots, and sensors. Electronics, 12(18), 3918.

Cao, L. (2024). AI Robots and Humanoid AI: Review, Perspectives and Directions. arXiv preprint arXiv:2405.15775.

Chandiok, A., Prakash, A., Siddiqi, A., & Chaturvedi, D. (2020). Cognitive Computing Agent Systems: An Approach to Building Future Real-World Intelligent Applications. In Computational Science and its Applications (pp. 257- 274): Chapman and Hall/CRC.

Zalud, L., (2004). Rescue Robot League – 1st Place Award Winner. In: RoboCup 2003: Robot Soccer World Cup VII, Springer, Germany, ISBN 3- 540-22443-2.


Refbacks

  • There are currently no refbacks.