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Humanoid Robotics is devoted to publishing cutting-edge research that investigates the science and technology used to develop machines of human-like shape and function, which demonstrate advanced cognitive and physical capabilities.
The section aims to publish innovative solutions where the goal is to mimic human skills both to improve current automation in a variety of domains and to understand how the human body & brain solve everyday tasks.
We encourage submissions of both detailed deep analysis of specific methods as well as engineering solutions, including:
- cognitive architectures and cognitive robotics,
- learning by imitation,
- online learning and adaptation,
- sensorimotor learning,
- mechanisms and intelligence of manipulation, locomotion and grasp,
- human physiology and motor control,
- integration of sensing modalities, e.g. vision, touch, hearing, inertial and proprioception,
- system integration in humanoid robots,
- translation of human motion and body dynamics into robot behavior design,
- applications of humanoid technologies, such as in assisting the elderly or in search and rescue missions.
Indexed in: Scopus, Google Scholar, DOAJ, CrossRef, Digital Biography & Library Project (dblp), Ulrich's Periodicals Directory, Web of Science Emerging Sources Citation Index (ESCI) , CLOCKSS
PMCID: NA
Humanoid Robotics welcomes submissions of the following article types: Brief Research Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Review, Specialty Grand Challenge, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Humanoid Robotics, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
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