

Welcome to
BEI 2027
2027 International Conference on Brain-like Embodied Intelligence(BEI 2027)
Venue
Hangzhou, China
Conference Dates
May 14-16, 2027
Full Paper Submission Date
April 24, 2027
Registration Deadline
April 30, 2027
Notification Deadline
April 09, 2027
Submission Deadline
March 05, 2027
The 2027 International Conference on Brain-like Embodied Intelligence (BEI 2027) will be held in Hangzhou, China, from May 14 to 16, 2027.
BEI 2027 will bring together leading scholars, technical experts, and industry representatives from around the globe in the fields of brain-like computing, embodied intelligence, and robotics. The conference aims to provide a premier forum for discussing the latest research advancements and practical applications at the profound intersection of brain-like mechanisms and embodied agents.
The conference program will cover a wide range of cutting-edge topics, including brain-like neural networks, spiking large models, autonomous learning and decision-making mechanisms, multimodal perception and behavioral control, as well as the synergistic development of nervous systems and morphologies. A key focus of the conference is to overcome the critical bottlenecks of traditional large models—namely, high energy consumption and the lack of autonomous generalization capabilities. Ultimately, BEI 2027 seeks to drive innovative breakthroughs and cross-disciplinary integration in enabling intelligent robots to autonomously perceive, make decisions, and execute tasks within complex environments.
The topics of interest for submission include, but are not limited to:
📚︎Brain-like computing
• Brain science and cognitive computing
• Spiking neural networks
• Neural plasticity, neuromodulation, memory systems
• Neuromorphic hardware design and implementations
• Organoid intelligence
📚︎Embodied AI
• Perception, learning, reasoning and prediction
• Manipulation, navigation and locomotion
• Whole-body control and behavior generation
• VLA models, world models, and hierarchical structures
• Datasets, simulation platforms, benchmarks, and metrics
📚︎Brain-like embodied AI
• Active perception and closed-loop control
• Continual and autonomous learning
• Self-modeling and cognitive planning
• Developmental and self-organizing embodied intelligence
• Benchmarks, assessments, and regulations
📚︎Autonomous embodied AI
• AI agents for planning and task decomposition
• Agentic behavior generation
• Multi-agent collaboration and edge AI agents
• Reliability, trustworthiness, and safety
• Real-world deployment and applications
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