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CCEI 2026: International Conference on Connected Embodied Intelligence

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截稿日期:
2026-10-15 还有 13 天
通知日期:
2026-10-31
会议日期:
2026-12-13
会议地点:
Hefei, China
届数:
1
浏览: 26   关注: 0   参加: 0

征稿

CCEI 2026 (International Conference on Connected Embodied Intelligence) is an academic conference held in Hefei, China on 2026-12-13. The paper submission deadline is 2026-10-15. Acceptance notifications are sent on 2026-10-31.

Scope and Topics We solicit original, high-quality research papers and practical experience reports on all aspects of connected embodied intelligence. Topics of interest include, but are not limited to: Embodied Intelligence Foundations and Models Vision-language-action models, world models, and embodied foundation models Multimodal perception, sensor fusion, and cross-modal grounding Embodied reasoning, task planning, and long-horizon decision making Sim-to-real transfer, generalization, and lifelong adaptation World Models for Embodied Intelligence Generative, latent, and 3D-occupancy world models for robots and autonomous driving Next-state prediction, physical causality, and physics-consistent world modeling World models for simulation, synthetic data generation, and sim-to-real transfer World action models and the integration of world models with VLA architectures Interactive and closed-loop world models: predict, verify, and act Long-horizon consistency, physical accuracy, and interpretability of world models Edge-cloud training, serving, and on-device deployment of world models Benchmarks, datasets, and evaluation of world models in embodied tasks Learning, Adaptation, and Knowledge Sharing Reinforcement learning and imitation learning for embodied agents Federated and collaborative learning across distributed robots Continual learning, skill transfer, and reusable embodied skill libraries Foundation model adaptation, distillation, and deployment on resource-constrained platforms Connected and Collaborative Embodied Systems Multi-robot and multi-agent coordination over networks Swarm intelligence and collective embodied behaviors Human-robot teaming, shared autonomy, and remote teleoperation Vehicle-to-everything (V2X) and connected autonomous driving Communication Architectures for Embodied Intelligence Ultra-low-latency and high-reliability communication for perception and control 5G/6G, deterministic networking, and time-sensitive networking for robotics Integrated sensing and communication (ISAC) and wireless sensing for embodied agents Edge network protocols and middleware for robot fleets Edge-Cloud Continuum and Computing Infrastructure Edge-cloud collaborative inference and computation offloading for embodied models Distributed training, fine-tuning, and serving across device-edge-cloud tiers Digital twins and simulation infrastructure for large-scale robot deployments Resource scheduling, orchestration, and workload placement for embodied workloads Real-Time Perception, Control, and Actuation Latency-aware perception pipelines and closed-loop networked control Tactile, force, and haptic feedback over communication links Motion planning and control under uncertainty, delay, and bandwidth constraints On-device and near-sensor computing for real-time embodied response Embodied AI in Cyber-Physical and Industrial Systems Industrial robotics, smart manufacturing, and flexible automation Warehouse, logistics, and last-mile delivery automation Smart cities, infrastructure inspection, agriculture, and field robotics Healthcare, service robots, and assistive embodied systems Trustworthy, Safe, and Sustainable Embodied Intelligence Safety, reliability, and verification of connected embodied systems Security and privacy in networked robots and teleoperation Robustness against network degradation, latency spikes, and adversarial attacks Energy-efficient embodied computing and sustainable robot operations Benchmarks, Datasets, and Evaluation Simulation platforms, testbeds, and reproducible embodied AI benchmarks Real-world datasets for manipulation, navigation, and human-robot interaction Metrics and methodology for network performance in embodied tasks Standards, interoperability, and ecosystem development
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