The ICMLEI 2026 conference aims to bring together professors, researchers, scholars, and industry pioneers from around the world. As a new international forum, ICMLEI 2026 is dedicated to the presentation and exchange of cutting-edge advances and research findings in the interdisciplinary field of embodied intelligence and machine learning. The conference welcomes contributions that foster the exchange of ideas and meaningful dialogue between educators and researchers worldwide. The organizing committee is pleased to invite prospective authors to submit their original manuscripts and to welcome all participants to join this event in Nanjing.

Track 1: Machine Learning Methods and Computational Intelligence

• Deep Neural Networks and Model Architectures

• Reinforcement Learning and Sequential Decision-Making

• Self-supervised and Representation Learning

• Transfer Learning and Domain Adaptation

• Multi-task and Lifelong Learning

• Probabilistic Learning and Bayesian Inference

• Optimization Algorithms for Machine Learning

• Trustworthy, Robust and Explainable AI

Track 2: Perception, Sensing and Multimodal Intelligence

• Computer Vision and Scene Understanding

• Speech Processing and Natural Language Understanding

• Multimodal Learning and Cross-modal Fusion

• Sensor Data Processing and Information Fusion

• Active Perception and Sensorimotor Coordination

• Human Behavior Analysis and Intent Recognition

• Spatiotemporal Data Modeling

• Perception for Autonomous and Intelligent Systems

Track 3: Embodied Intelligence, Robotics and Autonomous Systems

• Robot Learning and Intelligent Control

• Embodied Perception-Action Learning

• Vision-Language-Action Models

• World Models and Environment Representation

• Autonomous Navigation and Motion Planning

• Dexterous Manipulation and Tool Use

• Human-Robot Interaction and Collaboration

• Sim-to-Real Transfer and Adaptive Robotics

Track 4: Intelligent Systems and Cyber-Physical Applications

• Intelligent Control and Automation Systems

• Cyber-Physical Systems and Digital Twin

• Edge Intelligence and Distributed Systems

• Internet of Things for Intelligent Systems

• Smart Manufacturing Systems

• Intelligent Transportation Systems

• AI-enabled Healthcare Systems

• Safety and Reliability of Cyber-Physical Systems