(Including but not limited to the following topics)
Track 1: Human-Computer Interaction
Multimodal natural human-computer interaction technologies
Brain-computer interfaces and neuro-human-computer interaction
Augmented reality and virtual reality interaction systems
Affective computing and affective interaction design
Intelligent voice interaction and dialogue systems
Gesture recognition and haptic interaction technologies
Human-machine collaborative decision-making and cognitive enhancement
Human-machine integrated intelligent systems
Accessibility and inclusiveness design of interaction interfaces
User experience assessment and optimization methods
Design of intelligent product service systems
Ethics and privacy protection in human-computer interaction
Exploration of future human-computer interaction paradigms
Track 2: Embodied Intelligence
Embodied cognition theories and computational models
Multimodal perception fusion and scene understanding
Autonomous object manipulation and dexterous operation
Robotic active perception and exploration
Physical reasoning and commonsense understanding
Bionic perception and motion control
Embodied learning and skill acquisition
Human-machine limb interaction and collaboration
Social interaction and swarm intelligence
Lifelong learning in the real world
Transfer learning from simulation to reality
Evaluation benchmarks and tests for embodied systems
Track 3: Robot Learning
Application of deep reinforcement learning in robots
Imitation learning and demonstration learning
Meta-learning and rapid adaptation
Multi-task and transfer learning
World model and predictive learning
Unsupervised and self-supervised learning
Course learning and progressive learning
Distributed and parallel robot learning
Safe reinforcement learning and constraint optimization
Analysis of robot learning theories
Continuous learning in open-world scenarios
Robot learning system architecture ......