Embodied Intelligence is an international peer-reviewed, open access, online journal.

Aims and Scope

Embodied Intelligence: Where Control Meets Cognition in the Physical World

Embodied intelligence is rapidly becoming a unifying scientific frontier. Recent advances in learning, sensing, and computation increasingly require principled control, rigorous modeling, and systematic real-world validation to enable safe, robust, and generalizable physical autonomy. However, much of the most impactful work lies at the intersection of traditionally separate fields—such as control theory, robotics, artificial intelligence, neuroscience, and human-centered systems—where appropriate standards for evaluation and dissemination are often unclear. Embodied Intelligence is founded to provide a dedicated scholarly forum for this cross-disciplinary community. The journal promotes research that integrates theoretical depth with embodied grounding, and that accelerates reproducible progress from fundamental principles to deployed systems.

What We Publish

Embodied Intelligence welcomes original research articles, review articles, perspectives, commentaries, technology reports, system papers, case studies, and software/database notes in (but not limited to) the following areas.

1. Foundations: Modeling, Control, and Optimization for Embodied Agents

  • Nonlinear, hybrid, and stochastic control for complex embodied systems and contact-rich interactions
  • Optimal control, model predictive control (MPC), and real-time trajectory optimization
  • System identification and learning-based modeling with guarantees of stability and robustness
  • Safety, constraints, and formal verification (e.g., barrier functions, reachability, and certified control)

2. Learning for Embodiment: From Data to Skills with Guarantees

  • Reinforcement learning and imitation learning for continuous control and interaction
  • Sim-to-real transfer, domain adaptation, and generalization under distribution shift
  • Representation learning for dynamics, contact modeling, and morphology-aware policies
  • Safe and robust learning: uncertainty quantification, risk-sensitive design, and policy certification

3. Perception, State Estimation, and Sensorimotor Integration

  • Multimodal perception (vision, tactile sensing, proprioception, and audio) for embodied interaction
  • State estimation, simultaneous localization and mapping (SLAM), and contact-aware localization and manipulation
  • World modeling: scene understanding, affordance learning, and physics-informed perception
  • Closed-loop sensorimotor architectures that tightly integrate perception and control

4. Systems, Platforms, and Real-World Impact

  • Novel robot designs and embodied hardware (soft robotics, dexterous manipulation, and bio-inspired systems)
  • Human–robot interaction, shared autonomy, and assistive/medical/rehabilitation applications
  • Swarm and multi-agent embodied intelligence, addressing coordination, resilience, and communication constraints
  • Benchmarking, reproducibility, datasets, and field deployments in industrial, service, and extreme environments

Ownership

The journal is owned by OAE Publishing Inc.

Publishing Model

Gold open access. All articles published by Embodied Intelligence are made freely and permanently accessible online immediately from the date of publication. For further information, please refer to Open Access.

Copyright and License to Publish

Articles in Embodied Intelligence are published under a Creative Commons Attribution 4.0 International (CC BY 4.0). The CC BY 4.0 allows for maximum dissemination and re-use of open access materials and is preferred by many research funding bodies. Under this license users are free to share (copy, distribute and transmit) and remix (adapt) the contribution for any purposes, even commercially, provided that the users appropriately acknowledge the original authors and the source.

Copyright is retained by authors. Authors are required to sign a License to Publish (which can be downloaded from the journal's Author Instructions), granting Embodied Intelligence, which identifies itself as the original publisher, exclusive rights to publish their articles, and granting any third party the right to use the articles freely as long as the integrity is maintained and the original authors, citation details and publisher are identified.

Editorial Board

For more information about the editorial team, please refer to Editorial Board.

Editorial Policies

All manuscripts submitted to Embodied Intelligence should adhere to journal's Editorial Policies.

Peer Review

The journal adheres to rigorous peer review and undergoes single-blind peer review. For more details, please refer to Editorial Process and Peer Review Guidelines.

Publication Ethics Statement

Embodied Intelligence fully adheres to the Code of Conduct and the Best Practice Guidelines of Committee on Publication Ethics (COPE).

The Editors of this journal enforce a rigorous peer-review process together with strict ethical policies and standards to guarantee to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, image manipulation, inappropriate authorship credit, and the like, do arise. The Editors of Embodied Intelligence take such publishing ethics issues very seriously and are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use CrossCheck (powered by iThenticate) to check submissions against previous publications.

Journal Information and Statistics

  • Frequency: Quarterly published
  • DOI: Coming soon.
  • ISSN: Coming soon.
  • Digital archive: Portico

Indexing/Abstracting

All articles published in Embodied Intelligence are included in:
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Contact

Please visit Contact Us for details about different queries.

Embodied Intelligence
ISSN : XXXX-XXXX (Coming soon)
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