The 2026 MCSoC–EmbodiCore Global Summit is organized within the IEEE MCSoC Forum program and serves as a dedicated venue for advancing next‑generation Embodied AI and Distributed Autonomous Systems. EmbodiCore focuses on the physical realization of intelligence through real‑time multicore architectures, neuromorphic acceleration, embedded AI, and distributed computing frameworks. Its mission is to establish a rigorous foundation for autonomous agents that perceive, reason, and act through tightly integrated hardware–software systems. As intelligent systems take on increasingly mission‑critical roles, EmbodiCore provides a focused forum for breakthroughs that transform computational intelligence into reliable physical capability—enabling autonomous agents to operate collaboratively, safely, and effectively in complex, large‑scale environments.
Topics of Interest
- T1: Distributed & Collective Embodied Intelligence
- Multi‑agent coordination and swarm intelligence on multicore and many‑core systems.
- Decentralized task allocation and consensus algorithms for embodied agents.
- Low‑latency Agent‑to‑Agent (A2A) and Agent‑to‑Everything (A2X) communication.
- Federated learning and shared spatial awareness across heterogeneous autonomous systems.
- T2: Embodied AI for Critical Missions
- Healthcare: Assistive and surgical embodied systems for hospitals and elderly care.
- Space Exploration: Cooperative assembly and planetary operations by autonomous agents.
- Hazardous Environments: Disaster recovery, firefighting, and nuclear decommissioning.
- Human–Machine Collaboration: Safety‑rated computing for close‑proximity interaction.
- T3: Computing Architectures for Embodied Intelligence
- Hardware acceleration for Vision‑Language‑Action (VLA) and foundation models.
- Real‑time 3D world modeling and spatial computing on specialized SoCs.
- On‑chip processing for multimodal fusion and tactile sensing.
- Energy‑efficient inference for battery‑constrained embodied platforms.
- T4: Real‑Time Control & System Design
- Multicore‑enabled whole‑body control and adaptive locomotion.
- Real‑time kinematics and dynamics engines on custom ISAs (e.g., RISC‑V).
- Distributed edge computing for joint‑level actuation and control.
- Safety‑critical architectures for fail‑safe autonomous operation.
- T5: Bio‑Inspired Actuation & Soft Embodiment
- Neuromorphic control of artificial muscles and compliant actuators.
- Proprioceptive sensing and feedback loops for adaptive motion.
- Energy harvesting and regenerative systems for long‑endurance operation.
- T6: Agentic AI & Autonomous Reasoning
- Autonomous error recovery and multi‑step planning in dynamic environments.
- Self‑evolving embodied systems: from rule‑based automation to goal‑oriented agents.
- Hybrid AI combining analytical reasoning and generative adaptability.
- T7: Industrial Embodied Systems & Human Augmentation
- Deployment in smart factories and “lights‑out” industrial environments.
- Achieving human‑level dexterity and productivity in constrained cycle times.
- Integration of Information Technology (IT) and Operational Technology (OT).
- T8: Simulation, Digital Twins, and Sim‑to‑Real Transfer
- High‑fidelity physics engines for multicore simulation of embodied dynamics.
- Closing the reality gap through reinforcement learning and transfer strategies.
- Generative AI for synthetic data and behavioral validation.
- T9: Ethics, Security, and Trustworthy Embodied AI
- Cybersecurity for connected autonomous fleets.
- Ethical frameworks for autonomous decision‑making in critical missions.
- Hardware root‑of‑trust and secure boot for mission‑critical firmware.
- T10: Cognitive and Social Embodiment
- Affective computing and emotion recognition for natural interaction.
- Real‑time natural language understanding and instruction following.
- Tele‑operation, haptic feedback, and immersive VR‑based training.
- T11: Advanced Materials and Structural Integration
- Integration of flexible electronics and sensors into embodied structures.
- 3D‑printed meta‑materials for lightweight and impact‑resistant designs.
- Thermal management for high‑performance multicore processors.
- T12: Benchmarking, Standards, and Open‑Source Platforms
- Open‑source hardware (RISC‑V, Open‑POWER) for embodied AI research.
- Standardization of communication protocols and safety levels.
- Benchmarking suites for evaluating embodied AI performance on SoCs.
Featured Keynote Speaker
Mohamad Sawan, Ph.D., FRSC, FCAE, FIEEE, O.Q.
Chair Professor, Westlake University, China
Emeritus Professor, Polytechnique Montréal, Canada
Keynote:
Brain-inspired SoC for Brain-Computer Interfaces and Embodied AI Applications
Paper Submission
All papers must be submitted electronically through EDAS. Authors are encouraged to review the detailed submission instructions before uploading their manuscripts.
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The conference proceedings, including all technical tracks, special tracks, and workshop papers, will be published by IEEE Conference Proceedings and included in the Computer Society Digital Library (CSDL) and IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements.
