Benchmarking world models and embodied agents in closed-loop interactive environments
1. **Novel Benchmark**: Create a new embodied AI benchmark category
2. **Evaluation Framework**: Develop a comprehensive evaluation framework
3. **Meta-Learning Assessment**: Design meta-learning evaluation protocols
4. **Cross-Platform Evaluation**: Implement cross-platform evaluation standards