[hpc-announce] CALL FOR PAPERS FUTURE GENERATION COMPUTER SYSTEMS Advances in Intelligent Computing Technologies for Embodied AI Systems

[Wisser, Grace]

CALL FOR PAPERS FUTURE GENERATION COMPUTER SYSTEMS
Advances in Intelligent Computing Technologies for Embodied AI Systems
https://urldefense.us/v3/__https://www.sciencedirect.com/special-issue/328262/advances-in-intelligent-computing-technologies-for-embodied-ai-systems__;!!G_uCfscf7eWS!ZKp7FwJ8UTxMoVJ-FkO7BSChirO7CnC7kD4ePZO9Dz8JAD0vEw4E5e4CKU-oIzQi_vskHj19UFph-q7HhUF1Hoo$ 
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MOTIVATION AND SCOPE

The rapid advancement of intelligent physical systems has positioned Embodied Artificial Intelligence (EAI) at the core of the emerging autonomy economy. EAI integrates perception, computation, and actuation into a wide spectrum of autonomous agents such as self-driving vehicles, aerial drones, household service robots, agricultural machines, and industrial cobots. These systems must operate under strict constraints of latency, power, reliability, and adaptivity while performing increasingly complex cognitive tasks in dynamic, real-world environments.

To meet these stringent demands, next-generation EAI systems require holistic co-design of hardware and software. Traditional design separation is insufficient: only through tight integration across system layers can we achieve real-time responsiveness, energy efficiency, and learning capabilities at the edge. Furthermore, the non-von Neumann nature of many intelligent workloads—characterized by irregular memory access, heterogeneous sensor input, and context-dependent adaptation—calls for a rethinking of computing paradigms.

This Special Issue aims to highlight innovations at the intersection of EAI and HW/SW co-design. We invite contributions that bridge algorithmic intelligence with system-level design, and that explore how embodied agents can leverage domain-specific hardware, novel memory architectures, and optimized software pipelines. The goal is to surface scalable, robust, and deployable EAI systems across domains such as robotics, healthcare, autonomous transport, manufacturing, and space exploration.

We particularly encourage papers that:

*Address the full-stack design of intelligent physical systems, from sensing to decision-making.
*Propose novel computing substrates, memory hierarchies, or interconnects tailored for EAI.
*Demonstrate real-world applications or deployment of HW/SW optimized embodied systems.
*Explore design tradeoffs between energy, latency, and adaptability in physical environments.

This Special Issue will be coordinated in collaboration with the China Computer Federation (CCF), leveraging contributions from its key technical committees to ensure a high-impact collection of leading-edge research.

Scope and Topics of Interest We welcome original research articles, system demonstrations, and comprehensive reviews on topics including but not limited to:

1. Advanced Integration and Packaging
a) Chiplet-based and 2.5D/3D integration for EAI systems
b) Thermal, power, and signaling considerations for AI accelerators

2. Sensor-Memory-Compute Architectures
a) In-sensor and near-memory computing
b) Monolithic and heterogeneous SoC designs integrating perception and compute

3. Non-von Neumann and Brain-Inspired Models
a) Neuromorphic computing and event-based processing
b) Spatial, analog, or probabilistic computing models

4. Low-Power and Edge AI Architectures
a) Ultra-efficient processors for real-time EAI applications
b) Compiler and runtime support for constrained hardware platforms

5. Design Automation and HW/SW Co-Optimization
a) Agile development flows for EAI hardware
b) Cross-layer optimizations and design space exploration

6. Open-Source Ecosystems
a) RISC-V-based designs and collaborative development platforms
b) Verification, security, and toolchains for open EAI hardware

7. Distributed and Space-Based Intelligent Systems
a) HW/SW co-design for space exploration, satellites, and autonomous spacecraft
b) Federated and collaborative intelligence across distributed agents

8. Persistent and Non-Volatile Architectures
a) NVM-based designs for embedded and resilient intelligence
b) Storage-class memory for on-device learning and inference

9. Benchmarking and Evaluation Frameworks
a) Metrics and datasets for embodied learning systems
b) Testing frameworks for long-term adaptation and autonomy


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GUEST EDITORS

Prof. Songwen Pei, Shanghai Institute of Technology, China, swpei at sit.edu.cn 

Dr. Shaoshan Liu, Shenzhen Institute of Artificial Intelligence and Robotics for Society, China, shaoshanliu at cuhk.edu.cn 

Prof. Xiaochun Ye, Institute of Computing Technology, Chinese Academy of Sciences, China, yexiaochun at ict.ac.cn 

Prof. Christophe Cérin, University of Paris XIII, France, christophe.cerin at lipn.univ-paris13.fr 

Prof. Joel J. P. C. Rodrigues, Federal University of Piauí (UFPI), Brazil, joeljr at ieee.org


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IMPORTANT DATES

Submission portal opens: Dec. 1st, 2025

Deadline for paper submission: Jan. 18th, 2026

Latest acceptance deadline for all papers: March 15th, 2026

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MANUSCRIPT SUBMISSION INSTRUCTIONS

The FGCS’s submission system (Editorial Manager®) will be open for submissions to our Special Issue from December 1st, 2025. When submitting your manuscript please select the article type VSI: AICT.

All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue. 

All manuscripts must conform to the Guide for authors - Future Generation Computer Systems - ISSN 0167-739X | ScienceDirect.com by Elsevier. Papers previously published in a conference must have at least 40% new content. The page limit for this special issue is 18 pages.

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MANUSCRIPT FORMATTING GUIDELINES

GUIDE FOR AUTHORS: https://urldefense.us/v3/__https://www.elsevier.com/journals/future-generation-computer-systems/0167-739X/guide-for-authors__;!!G_uCfscf7eWS!ZKp7FwJ8UTxMoVJ-FkO7BSChirO7CnC7kD4ePZO9Dz8JAD0vEw4E5e4CKU-oIzQi_vskHj19UFph-q7H88zTs5k$ 

* Please use Elsevier's Latex Style with "5p, times" option. So your document should start with \documentclass[5p,times]{elsarticle}
* You are recommended to use the Elsevier article class elsarticle.cls (https://urldefense.us/v3/__https://ctan.org/tex-archive/macros/latex/contrib/elsarticle__;!!G_uCfscf7eWS!ZKp7FwJ8UTxMoVJ-FkO7BSChirO7CnC7kD4ePZO9Dz8JAD0vEw4E5e4CKU-oIzQi_vskHj19UFph-q7HIdv1wdc$ ) to prepare your manuscript and BibTeX (https://urldefense.us/v3/__http://www.bibtex.org/__;!!G_uCfscf7eWS!ZKp7FwJ8UTxMoVJ-FkO7BSChirO7CnC7kD4ePZO9Dz8JAD0vEw4E5e4CKU-oIzQi_vskHj19UFph-q7HZbgeSG0$ ) to generate your bibliography.
* Our LaTeX  (https://urldefense.us/v3/__https://www.elsevier.com/latex__;!!G_uCfscf7eWS!ZKp7FwJ8UTxMoVJ-FkO7BSChirO7CnC7kD4ePZO9Dz8JAD0vEw4E5e4CKU-oIzQi_vskHj19UFph-q7HVLiKbEA$ ) site has detailed submission instructions, templates and other information.
* Article submitted to FGCS should be strictly double column, single spaced and limited to 18 pages; including all figures, tables, references.
* A manuscript longer than 18 pages will not be considered for review and returned to author to be revised to the correct format.

To view a complete list of the Call for Papers for Future Generation Computer Systems Journal, visit: https://urldefense.us/v3/__https://www.sciencedirect.com/journal/future-generation-computer-systems/about/call-for-papers__;!!G_uCfscf7eWS!ZKp7FwJ8UTxMoVJ-FkO7BSChirO7CnC7kD4ePZO9Dz8JAD0vEw4E5e4CKU-oIzQi_vskHj19UFph-q7HTf8RflA$ 

Sent on behalf of Michela Taufer, Editor-in-Chief


Grace Wisser
Assistant Director, Global Computing Lab
Assistant to Editor in Chief, FGCS Journal