会议信息

ICCAR 2027: International Conference on Control, Automation and Robotics

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截稿日期:
2026-12-25 还有 121 天
通知日期:
2027-01-25
会议日期:
2027-04-23
会议地点:
Nanchang, China
届数:
浏览: 33521   关注: 15   参加: 5

征稿

ICCAR 2027 (International Conference on Control, Automation and Robotics) is an academic conference held in Nanchang, China on 2027-04-23. The paper submission deadline is 2026-12-25. Acceptance notifications are sent on 2027-01-25.

The conference organizing committee invites researchers worldwide to submit papers and share the valuable experiences with the scientists from the world. Topics of interest for submission include, but are not limited to: Intelligent Robot Technology 智能机器人技术 Embodied Large Models & Scene Cognition Self-Supervised Robot Learning Multimodal Perception & Cross-modal Fusion Neuromorphic Computing Hardware Cloud-Edge-Device Collaborative Intelligence Humanoid Robot Autonomy Soft-Liquid Metal Reconfigurable Robots Micro/Nano Robotic Swarms Bio-inspired Autonomous Robots Reconfigurable Modular Robots Autonomous Operations in Extreme Environments Human-Robot Symbiotic Collaboration Surgical & Rehabilitation Robotics Disaster Response Autonomous Systems Socially Interactive Service Robots Dexterous Manipulation & Tactile Intelligence Emergent Swarm Intelligence Control Cross-domain Autonomous Navigation & SLAM Robotic Digital Twin Systems Human-Robot-Environment Intelligence Fusion Quantum Sensing for Robotics Ethical Safety & Trustworthiness Frameworks Brain-Computer Interface & Neuro-Control Self-Powered Sustainable Robots Control Science and Engineering 控制科学与工程 Adaptive & Robust Learning Control Intelligent Stabilization of Nonlinear Systems Cybersecurity for Networked Control Systems Quantum Control Theory Bio-inspired Control Mechanisms Generative AI-Control Synergy Neuro-Symbolic Hybrid Control Meta-Learning based Adaptive Optimization Multi-Agent Game-Theoretic Control Event-Triggered Autonomous Learning Intelligent Precision Motion Control Cyber-Physical Control for Energy Grids Control of Bio-Hybrid Systems AI-Driven Autonomous Process Control Robust Control in Extreme Environments Resilient Control for Complex Systems Discrete Event Dynamic Programming Formal Verification of Hybrid Systems Digital Twin Enabled Real-Time Control Distributed Edge Intelligence Control Explainable AI for Control Systems Ethics & Safety in Autonomous Control Cooperative Control of Soft Robots Integrated Space-Air-Ground Control Intelligent Autonomous System and Automation 智能自主系统与自动化 Digital Twin Enabled Autonomous Decision Generative AI-Automation Convergence Embodied Intelligence Industrial Brain End-to-End Perception-Planning-Control Cloud-Edge-Robot Collaborative Computing Human-AI Cognitive Collaboration Resilient Cross-domain Autonomous Systems Nanobot Precision Manipulation Bio-Hybrid Autonomous Systems Quantum-Enhanced Sensing & Decision Cognitive Autonomous Process Control Self-Reconfiguring Flexible Manufacturing Industrial Metaverse Co-Production Holographic Factory Simulation & Optimization Industrial Foundation Model Control Hub Energy-Cyber-Physical Co-Optimization Autonomous Governance for ITS Autonomous Medical Robotic Systems Swarm Intelligence Service Robots Extreme Environment Autonomous Operation Explainability & Ethics of Autonomy Neuromorphic Computing Acceleration Formal Verification for Safety Resilience Carbon Footprint Optimization for Autonomy Signal Processing in the Engineering Control System 工程控制系统中的信号处理 Quantum Sensing & Super-Resolution Perception Neuromorphic Dynamic Sensor Networks Cross-Modal Semantic Fusion Contact less Bio-Signal Sensing Self-Powered Intelligent Sensing End-to-End Learning Signal Reconstruction Joint Time-Frequency-Space Analysis Generative Signal Enhancement & Synthesis Nonlinear Dynamical Feature Extraction Compressive Sensing Edge Computing Meta-Learning Adaptive Control Semantic-Information Control Framework Neuro-Symbolic Hybrid Identification Resilient Autonomous Decision Architecture Multi-Physics Field Co-Optimization Digital Twin for Real-Time Signal Mirroring Discrete-Continuous Hybrid Control Autonomous Perception-Control for Industry 4.0 Bio-inspired Control Signal Encoding Environmental Intelligence Perception Loop BCI Signal Processing for Control Control Ethics & Trustworthy Signaling Green Signal Processing Architecture THz Communication-Control Integration
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