About EILM 2026

2026 2nd International Conference on Embodied Intelligence and Large Models (EILM 2026) will be held on July 9-11, 2026 in Chengdu, China.

EILM 2026 aims to establish a high-level international platform for exchange, focusing on the deep integration and innovation of embodied intelligence and large models in theory, algorithms, and applications. The conference seeks to bring together top experts and scholars to explore how large models can enhance the perception and decision-making abilities of intelligent agents, promote development in robotics, autonomous systems, human-computer interaction, and other fields, and support the expansion of intelligent technologies into broader application scenarios.

The primary goal of the conference is to promote research and developmental activities in Embodied Intelligenced and Large Models and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. We sincerely invite you to participate in EILM 2026 and look forward to seeing you in Chengdu!

Call For Papers

The topics of interest for submission include, but are not limited to:

◕ Track 1: Foundation Models for Embodied Intelligence

· Architecture Design for Robotic Foundation Models 

· World Models for Embodied Agents

· Scaling Laws and Emergent Abilities in Embodied Systems

· Efficient and Low-Latency Inference for Real-World Deployment

· Theoretical Foundations of Embodied Intelligence

◕ Track 2: Learning, Adaptation, and Generalization in Embodied Systems

·Reinforcement Learning and Imitation Learning from Multimodal Data

· Zero/Few-Shot and Long-tail Learning for Embodied Agents

· Continual/Lifelong Learning in Dynamic Environments

· Embodied Chain-of-Thought (CoT) Reasoning with LLMs

· Learning from Physical Interaction, Correction, and Human Feedback

◕ Track 3: Multimodal Perception and Interaction

· Multimodal Perception and Fusion 

· 3D Scene Understanding and Semantic Mapping

· Affordance Prediction and Functional Object Recognition

· Egocentric Vision and Embodied Vision-Language Models

· Multimodal Sensor Data Fusion

· Localization, Navigation and Controlling

◕ Track 4: Systems and Real-World Applications

· Multi-Agent Collaboration Systems 

· Human-Robot Interaction

· Robotic Systems Integration and Deployment 

· Edge Computing, End-Cloud Collaboration and Communication Technologies

· Embodied AI in Manufacturing, Logistics, Agriculture, and etc

◕ Track 5: Safety, Interpretability and Ethics

· Alignment and Safety in Physical Systems

· Bias, Fairness, and Transparency in Embodied AI

· Interpretability and Explainability of Embodied Models

· Data Privacy and Security in Human-Centric Environments

· Ethical Human-robot Interaction and Societal Impact

◕ Track 6: Simulation, Datasets and Environments

· Large-scale Embodied Data Collection and Curation

· Image and Video Synthesis and Generation

· Benchmarks and Metrics for Evaluating Embodied Intelligence

· Human-in-the-Loop Data Collection and Annotation Frameworks 

· Standardization of Embodied AI Evaluation Protocols

Publication

All papers submitted to EILM 2026 will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in ACM ICPS (ISBN: 979-8-4007-2498-5) and will be submitted to EI Compendex, Scopus for indexing.