Journal of Embodied Intelligence

Journal of Embodied Intelligence

Current Issue

Vol. 1 No. 1 (December 2025)

View Vol. 1 No. 1 (December 2025)

EISSN: 2760-5701

Journal of Embodied Intelligence is an international, peer-reviewed journal dedicated to advancing the understanding, design, and application of embodied intelligence in natural and artificial systems. The journal provides a platform for interdisciplinary research that bridges cognitive science, robotics, artificial intelligence, neuroscience, and human–machine interaction. Its mission is to explore how intelligence emerges from the interaction between an agent’s body, environment, and sensory–motor processes, promoting innovative solutions in robotics, AI, and human augmentation.

The journal welcomes original research, reviews, perspectives, and short communications on topics including, but not limited to:

Embodied cognition and the theoretical foundations of embodied intelligence
Robotics and autonomous systems inspired by biological intelligence
Sensorimotor learning, adaptive control, and real-time perception–action loops
Human–robot interaction and collaborative intelligent systems
AI and machine learning approaches for embodied agents
Soft robotics, wearable devices, and bio-inspired design
Neurocognitive studies of embodiment in humans and animals
Applications of embodied intelligence in healthcare, education, and assistive technologies

Recent Articles

Articles
Cognitive Alignment Mechanisms in Embodied Intelligence-Based Human-Robot Collaboration: A Neurocognitive and Behavioral Perspective

Marcus H. Schmidt

1-15

8 (Abstract) 2 (Download)

Embodied intelligence (EI) has become a pivotal paradigm for human-robot collaboration (HRC), anchoring robots’ cognition in physical environmental and human interactions. However, cognitive alignment—the synchronization of perceptual, attentional and decision-making processes between humans and embodied robots—remains underexplored. This study combined EEG/fNIRS neurocognitive experiments and behavioral analyses to investigate its mechanisms via a collaborative assembly task,... more
Articles
Embodied Adaptation and Affective Trust Building in Elderly-Assisted Human-Robot Collaboration: A Neurocognitive Investigation

Maximilian Schmidt

16-28

1 (Abstract) 7 (Download)

Against global population aging, embodied robots are widely applied in elderly care, where affective trust and adaptive collaboration are vital. Elderly-assisted human-robot collaboration (HRC) faces unique challenges like declining cognitive-motor abilities and high emotional demands, yet the neurocognitive mechanisms linking robot embodied adaptation and affective trust remain unclear. This study combined behavioral experiments, fNIRS and... more
Articles
Intention Coordination and Trust Building in Dynamic Embodied Human-Robot Collaboration: A Neurocognitive Perspective

James Wilson

29-40

8 (Abstract) 9 (Download)

Against global population aging, embodied robots are widely applied in elderly care, where affective trust and adaptive collaboration are vital. Elderly-assisted human-robot collaboration (HRC) faces unique challenges like declining cognitive-motor abilities and high emotional demands, yet the neurocognitive mechanisms linking robot embodied adaptation and affective trust remain unclear. This study combined behavioral experiments, fNIRS and... more
Articles
Multimodal Perception-Based Intelligent Robots for Cognitive Function Improvement in Elderly with Mild Cognitive Impairment: A Neurocognitive Intervention Study

Elena Peterson

41-52

9 (Abstract) 9 (Download)

Mild Cognitive Impairment (MCI), a critical transition between normal aging and dementia, demands early non-pharmacological intervention. Embodied robots show potential in elderly care, but existing MCI interventions rely on single-modal interaction and lack real-time cognitive state-based personalization. This study developed a multimodal perception-based intelligent robot (MPIR) and explored its effect on MCI elderly via a... more
Articles
Personalized Affective Adaptation of Embodied Robots and Elderly Long-Term Acceptance: A Longitudinal Neurocognitive Study

Miguel Ruiz

53-64

6 (Abstract) 7 (Download)

Long-term acceptance is crucial for sustainable application of embodied robots in elderly care, but existing studies focus on short-term effects and lack personalized adaptation strategies. To address this, this study explored the impact of robots’ personalized affective adaptation (based on elderly’s personality and emotional preference) on long-term acceptance via a 12-week longitudinal experiment (36 participants,... more

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