2027 International Conference on Intelligent Robot and Embodied AI (IREAI 2027)

★CONTACT US
Website: www.ireai.org
Date: September 10–12, 2027
Venue: China
Full Paper Submission: March 27, 2027
Email: contact@ireai.org
Tel:+86-28-85586839 (International)
Monday-Friday, 9:00am-12:00pm and 1:30pm-6:00pm


★Welcome to IREAI 2027
Welcome to the 2027 International Conference on Intelligent Robot and Embodied AI (IREAI 2027)! We are delighted to have you join us from September 10–12, 2027.
As robotics and artificial intelligence continue to converge, embodied AI is redefining the way intelligent systems perceive, reason, and interact with the physical world. IREAI 2027 brings together leading researchers, engineers, and industry professionals from around the globe to explore cutting-edge advancements in robot perception and control, multi-robot collaboration, human-robot interaction, foundation models for robotics, and sim-to-real transfer for embodied intelligence.


★Publication Information
Registered and presented full papers will be included in the IREAI 2027 digital conference proceedings and submitted to major citation databases (including, but not limited to Ei Compendex and Scopus) for review and indexing.


★Call for papers
Topics of Interest include but not limited to:
1. Intelligent Robotics and Autonomous Systems
Robot Perception, Localization, and Navigation
Manipulation, Grasping, and Dexterous Control
Motion Planning and Trajectory Optimization
Multi-Robot Collaboration and Swarm Intelligence
Human-Robot Interaction (HRI) and Collaborative Robotics
Soft Robotics and Bio-Inspired Robot Design
Legged, Wheeled, and Aerial Robot Systems

2. Embodied AI and Cognitive Systems
Embodied Perception, Reasoning, and Decision-Making
Vision-Language-Action (VLA) Models for Embodied AI
Foundation Models and Large Language Models for Robotics
World Models, Simulation, and Physics-Based Reasoning
Sim-to-Real Transfer and Domain Adaptation
Robot Skill Acquisition, Generalization, and Compositionality
Affordance Learning and Object Manipulation Understanding