New benchmark evaluates task-conditioned actionable space beliefs
What happened
Yina Jian, Mingkun Xu and others proposed the Seeing What Matters benchmark to evaluate "task-conditioned actionable space beliefs" in simulated tabletop manipulation—that is, whether a system can judge, according to the current task, which spatial regions are actionable. The benchmark covers three types of scenes—coffee workstations, drawer cabinets, and microwaves—and contains 860 frozen evaluation cases, expanding to more than 115,000 evaluation episodes. The benchmark is currently evaluated only in simulation; the authors state that cross-domain evaluation and physical robot validation are still ongoing, and results under those conditions have not yet been provided.
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- arXiv cs.ROSeeing What Matters: A Benchmark for Task-Conditioned Actionable Spatial Belief for Manipulation
The authors propose the Seeing What Matters benchmark to evaluate task-conditioned actionable spatial belief in simulated tabletop manipulation, covering 860 frozen evaluation cases across three scenarios—coffee workstation, drawer/cabinet, and microwave—which expand to more than 115,000 evaluation episodes.
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