International Journal of Humanoid Robotics - Impact Factor

International Journal of Humanoid Robotics - World Scientific | 2024 Impact Factor:1.6 | Cite Score:4.2 | Q3

Impact Factor and Journal Rank of International Journal of Humanoid Robotics

About: International Journal of Humanoid Robotics (IJHR) is a leading, peer-reviewed journal dedicated to the advancements and applications of humanoid robotics. The journal covers a broad spectrum of research areas related to the design, development, and application of humanoid robots.
Interdisciplinary Approaches
IJHR encourages interdisciplinary research that combines multiple fields to advance humanoid robotics. This includes:
Biomechanics: Applying principles of human movement and anatomy to robot design and function.
Neuroscience: Leveraging insights from neuroscience to develop more effective control and cognitive systems for robots.
Computer Vision: Integrating advanced vision systems to enhance robot perception and interaction capabilities.
Machine Learning: Utilizing machine learning techniques to improve robot learning and adaptation.
Ethics and Social Impact: Exploring the ethical considerations and societal impacts of deploying humanoid robots.
Impact and Significance
The journal aims to:
Promote Technological Advancement: Drive innovation in the design and functionality of humanoid robots.
Enhance Human-Robot Collaboration: Improve the ways in which robots can assist and interact with humans in various settings.
Support Academic and Industrial Research: Provide a platform for the dissemination of high-quality research from both academia and industry.
Influence Future Development: Set the direction for future research and development in the field of humanoid robotics.
Types of Articles Accepted
IJHR accepts a variety of article types, including:
Research Papers: Comprehensive reports of original research with significant contributions to the field of humanoid robotics.
Review Articles: Critical reviews of the current state-of-the-art and emerging trends in humanoid robotics.
Short Communications: Brief reports on novel findings or preliminary results with high potential impact.
Case Studies: Detailed reports on the application of humanoid robots in real-world scenarios.
Special Issues: Collections of papers focused on specific themes or topics of interest in humanoid robotics.

Journal Home: Journal Homepage

Editor-in-Chief: Ming Xie

Scope: International Journal of Humanoid Robotics is a peer-reviewed journal dedicated to publishing original research articles, reviews, and technical notes on all aspects of humanoid robotics. The journal aims to provide a platform for the dissemination of significant contributions to the development and application of humanoid robots, promoting advancements in theory, design, and practical implementation. The journal covers a broad range of topics within humanoid robotics, including but not limited to:
Humanoid Robot Design: Research on the design and development of humanoid robots, including mechanical structure, actuation, and materials.
Control Systems: Studies on control methodologies for humanoid robots, including motion control, balance control, and adaptive control systems.
Artificial Intelligence: Research on AI techniques applied to humanoid robots, including machine learning, perception, and decision-making processes.
Human-Robot Interaction: Studies on the interaction between humans and humanoid robots, including communication, collaboration, and social behavior.
Sensor Integration: Research on the integration of sensors and sensory systems in humanoid robots, including vision, touch, and auditory sensors.
Robot Navigation: Studies on navigation algorithms and techniques for humanoid robots, including path planning, obstacle avoidance, and SLAM (Simultaneous Localization and Mapping).
Autonomous Behavior: Research on autonomous decision-making and behavior generation in humanoid robots, including task planning and execution.
Robotic Learning: Studies on learning algorithms and adaptive systems for humanoid robots, including reinforcement learning and imitation learning.
Applications of Humanoid Robots: Research on practical applications of humanoid robots in various fields, including healthcare, service robotics, entertainment, and education.
Ethical and Social Implications: Studies on the ethical and social implications of deploying humanoid robots in society, including issues of privacy, security, and human-robot coexistence.