Embodied AI Evaluation

Defining Embodiment#

1. Physical Embodiment

   • Agents with physical presence in environments
   • Sensorimotor interactions with the world
   • Real-time perception and action cycles
   • Physical constraints and limitations

2. Virtual Embodiment

   • Agents operating in simulated environments
   • Interactive virtual worlds and games
   • Physics-based simulation platforms
   • Digital twin representations

3. Key Characteristics

   • Continuous interaction loops
   • Multi-modal perception systems
   • Sequential decision making
   • Environmental context awareness

Embodiment Spectrum#

Low Embodiment:#

• Text-based interaction systems
• Static image analysis
• Single-turn responses
• Limited environmental context

Medium Embodiment:#

• Interactive dialogue systems
• Simple simulation environments
• Limited action spaces
• Basic environmental awareness

High Embodiment:#

• Complex physical robots
• Rich simulation environments
• Sophisticated sensorimotor systems
• Deep environmental integration