◕  Embodied Machine Learning

• Deep Reinforcement Learning for Embodied Agents

• Curiosity-Driven Exploration

• Imitation Learning and Behavior Cloning

• Multi-Task and Lifelong Learning

• Sample Efficiency and Generalization in Robotics

• Causal Reasoning in Physical Systems

◕ Foundation Models for Robotics

• Vision-Language-Action (VLA) Models

• Multimodal Foundation Models for Robotics

• World Models for Environment Prediction

• Foundation Models for Decision Making

• Data and Simulation for Robotic Foundation Models

• Efficient Adaptation of Large Models on Robots

◕ Perception & Interaction

• Active Perception and Sensorimotor Coordination

• Dexterous Manipulation and Tool Use

• Navigation in Unstructured Environments

• Human-Robot Collaboration and Intention Recognition

• Learning Object Properties via Interaction

• Integration of Memory, Attention and Planning