ICCAR 2026 (International Conference on Control, Automation and Robotics) is an academic conference held in Nagoya, Japan on 2026-04-08. The paper submission deadline is 2026-03-05 (extended). Acceptance notifications are sent on 2026-03-20.
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
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
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
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
Quantum Sensing & Super-Resolution Perception
Neuromorphic Dynamic Sensor Networks
Cross-Modal Semantic Fusion
Contactless 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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