✨Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?

📝 Summary:
Target-Bench evaluates world models for mapless robot path planning to semantic targets in real-world environments. It reveals off-the-shelf models perform poorly, but fine-tuning significantly improves their planning capability.

🔹 Publication Date: Published on Nov 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.17792
• PDF: https://arxiv.org/pdf/2511.17792
• Project Page: https://target-bench.github.io/
• Github: https://github.com/TUM-AVS/target-bench

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#Robotics #PathPlanning #WorldModels #ArtificialIntelligence #MachineLearning