- iccarconf@outlook.com
- Ticket to ICCAR 2027
Call for Papers
征稿主题
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