Benchmarking world models and embodied agents in closed-loop interactive environments
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World-In-World Benchmark Platform — Platform Architecture — Part 4
mark platform and its evaluation methodologies
- Explore embodied AI research from leading labs (DeepMind, OpenAI, MIT)
- Learn about simulation platforms and physics engines for embodied AI
- Research multi-modal learning and sensor fusion techniques
- Follow developments in robotics and autonomous systems evaluation
## Practical Exercises
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1. **Benchmark Design**: Design a benchmark for a specific embodied AI task
2. **Evaluation Implementation**: Implement evaluation metrics for an embodied agent
3. **Comparison Study**: Compare different evaluation methodologies on the same task
4. **Robustness Testing**: Design stress tests for embodied AI systems