2027 International Conference on Brain-Inspired Embodied Intelligence (BEI 2027)


Welcome to
BEI 2027
2027 International Conference on Brain-Inspired Embodied Intelligence (BEI 2027)
Venue
Hangzhou, China
Conference Dates
May 14-16, 2027
Full Paper Submission Date
February 28, 2027
Notification of acceptance date
March 30, 2027
Final paper submission date
April 14, 2027
Registration Deadline
April 29, 2027
2027 International Conference on Brain-Inspired 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-Inspired 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-Inspired mechanisms and embodied agents.
The conference program will cover a wide range of cutting-edge topics, including brain-Inspired 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-Inspired Computing
• Brain Science and Cognitive Computing
• Spiking Neural Networks
• Neural Plasticity, Neuromodulation, Memory Systems
• Neuromorphic Hardware Design and Implementations
• Organoid Intelligence
📚︎Embodied AI
• Embodied Perception, Learning and Interaction
• Morphology Design, Behavior Generation, Whole-body Control
• VLA Models, World Models, Hierarchical Structures, Physical and Spatial Foundation Models
• Physical Reasoning, Spatial Intelligence, Affordance Learning
• Manipulation, Navigation and Locomotion
• Datasets, Tasks and Benchmarks
• Simulation Platforms, Sim2Real, Physical AI
📚︎Brain-Inspired Embodied AI
• Multisensory and Crossmodal Integration
• Sensorimotor Integration and Perception-Action Coupling
• Continual and Autonomous Learning
• Self-modeling and Cognitive Planning
• Developmental and Self-organizing Embodied Intelligence
• Interpretability and Assessments
📚︎Autonomous Embodied AI
• Active Perception and Closed-loop Control
• AI Agents for Planning and Task Decomposition
• Multi-agent Collaboration and Edge AI Agents
• Human–Robot Collaboration, Shared Autonomy, Cooperative Decision-making
• Trustworthiness, Safety, Ethics and Regulations
![]() |