RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?
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TL;DR - RoboSPA is a large-scale benchmark for evaluating spatial reasoning and long-horizon procedural planning in Vision-Language-Action models. It reveals persistent weaknesses in complex spatial understanding, precise execution, and memory-intensive planning.
- Covers 10 task categories and 56 base tasks, expanded across five difficulty levels into 280 variants.
- Includes 527K manipulation trajectories spanning multiple robot embodiments and diverse scenes.
- Adds diagnostic metrics beyond binary task-success rates to identify specific reasoning and execution failures.
- Evaluations of representative VLA models show substantial difficulty as spatial ambiguity and procedural complexity increase.
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RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?
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Hugging Face upvotes 28
TL;DR - RoboSPA is a large-scale benchmark for evaluating spatial reasoning and long-horizon procedural planning in Vision-Language-Action models. It reveals persistent weaknesses in complex spatial understanding, precise execution, and memory-intensive planning.
- Covers 10 task categories and 56 base tasks, expanded across five difficulty levels into 280 variants.
- Includes 527K manipulation trajectories spanning multiple robot embodiments and diverse scenes.
- Adds diagnostic metrics beyond binary task-success rates to identify specific reasoning and execution failures.
- Evaluations of representative VLA models show substantial difficulty as spatial ambiguity and procedural complexity increase.