Embodied AI Evaluation

Traditional Evaluation Limitations#

1. Static Benchmark Problems

   • Fixed datasets and test cases
   • Single-turn evaluation metrics
   • Lack of environmental interaction
   • Limited generalization assessment

2. Visual Fidelity Focus

   • Emphasis on rendering quality
   • Photorealism over functionality
   • Aesthetic metrics over task performance
   • Limited behavioral assessment

3. Isolated Task Evaluation

   • Individual task performance
   • Lack of cross-task generalization
   • Limited transfer learning assessment
   • Narrow skill evaluation

Embodied AI Specific Challenges#

1. Closed-Loop Complexity

   • Agent actions affect environment
   • Environmental changes impact agent
   • Dynamic state evolution
   • Non-linear interaction effects

2. Multi-Modal Integration

   • Vision, language, and action coordination
   • Cross-modal learning and transfer
   • Sensor fusion challenges
   • Modality-specific evaluation

3. Temporal Dependencies

   • Sequential decision making
   • Long-term planning requirements
   • Memory and state management
   • Temporal credit assignment