Recent Advancements in Humanoid Robot Heads: Mechanics, Perception, and Computational Systems.

Katarina Josic, Maysoon Ghandour, Maya Sleiman, Wen Qi, Hang Su, Naima AitOufroukh-Mammar, Samer Alfayad

Abstract readReview

In one paragraph

Review in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Katarina JosicKALYSTA Actuation, 91000 Evry, France.ORCID 0009-0002-2897-9516

Maysoon GhandourThe IBISC Laboratory, University of Evry Paris-Saclay, University of Paris-Saclay, 91000 Evry, France.ORCID 0009-0009-4465-6195

Maya SleimanKALYSTA Actuation, 91000 Evry, France.

Wen QiSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.

Hang SuThe IBISC Laboratory, University of Evry Paris-Saclay, University of Paris-Saclay, 91000 Evry, France.ORCID 0000-0002-6877-6783

Naima AitOufroukh-MammarThe IBISC Laboratory, University of Evry Paris-Saclay, University of Paris-Saclay, 91000 Evry, France.

Samer AlfayadThe IBISC Laboratory, University of Evry Paris-Saclay, University of Paris-Saclay, 91000 Evry, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a comprehensive review that provides an in-depth examination of humanoid heads, focusing on their mechanics, perception systems, computational frameworks, and human-robot interaction interfaces. The integration of these elements is crucial for developing advanced human-robot interfaces that enhance user interaction and experience. Key topics include the principles of context, functionality, and appearance that guide the design of humanoid heads. This review delves into the different aspects of human-robot interaction, emphasizing the role of artificial intelligence and large language models in improving these interactions. Technical challenges such as the uncanny valley phenomenon, facial expression synthesis, and multi-sensory integration are further explored. This paper identifies future research directions and underscores the importance of interdisciplinary collaboration in overcoming current limitations and advancing the field of humanoid head technology.

Indexed as

artificial intelligencecomputational systemshumanoid headmechanicsperceptionreview

Identifiers

PMID41294388

DOI10.3390/biomimetics10110716

PMCPMC12650323

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.