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

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-10
DOI
https://doi.org/10.5281/zenodo.14998249
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Social Robot Interaction and HRI
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
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Social Robot Interaction and HRI
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