(Include but not limited to)
Track 1: Embodied Intelligence Theory and Cognitive Architecture
Embodied Intelligence Foundation Theory and Cognitive Architecture Design
Embodied Intelligent World Model Construction and Prediction Coding
Visual-Language-Action (VLA) Large Model and Embodied Reasoning
Scale Laws and Emergent Capabilities in Embodied Intelligence
CoT Reasoning and LLM Planning in Embodied Intelligence
Causal Reasoning in the Physical World and Commonsense Learning
Cognitive Planning, Reasoning and Decision-Making Mechanisms
Neuro-symbolic Computing and Hybrid Intelligent Architecture
Continuous/Lifelong Learning under Environmental Interaction
Curiosity-driven and Intrinsic Motivation Autonomous Exploration
Interpretability and Alignment of Embodied Intelligence
Evaluation Benchmarks and Standardization for Embodied Intelligence
Tripartite Interaction Cognition of Human-Machine-Environment
Track 2: Visual Cognition and Scene Understanding
3D Vision and Spatial Perception
Object Detection, Semantic/Instance Segmentation and Scene Graph Generation
Video Understanding and Dynamic Scene Analysis
Visual Attention Mechanism and Salience Detection
Object Recognition, Grasping and Manipulation Based on Vision
Multi-View Geometry and Visual Odometry/VSLAM
Generative Visual Models and Scene Reconstruction
Visual Language Model (VLM) and Visual Question Answering
Small Sample, Zero Sample and Continuous Visual Learning
Bionic Vision and Event Camera Perception
Track 3: Autonomous Robots and Behavior Control
Robot Motion Planning, Trajectory Optimization and Adaptive Control
Application of Deep Reinforcement Learning and Imitation Learning in Robots
Strategy Migration from Simulation to Reality and Domain Adaptation
Fine Manipulation, Grasping and Tool Use
Soft Control and Force Feedback Teleoperation
Multi-Robot Collaboration and Swarm Intelligence
Human-Machine Interaction, Intent Recognition and Cooperative Control
Autonomous Navigation, Path Planning and Obstacle Avoidance Decision
Robot System Integration, Deployment and Edge Intelligence
Robot and Digital Twin Simulation Platform
Small Sample and Zero Sample Learning of Embodied Intelligent Agents
Specialized Robots (Medical, Agricultural, Disaster Relief, etc.) Autonomous Systems
......