GeoMind: A Benchmark for Spatial Understanding in Robotic Manipulation
Overview
This paper introduces GeoMind, a new benchmark for evaluating spatial understanding in robotic manipulation. It consists of 54 task variants focused on spatial reasoning and memory, addressing limitations in existing benchmarks that rely on strong visual cues or static scenes. The authors release an automated pipeline for generating and annotating tasks with verified targets and executable interactions. Evaluations across diverse embodied agents reveal consistent weaknesses in tracking identities after spatial changes and converting relational constraints into actions.
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“ng embodied benchmarks fall short in evaluating spatial understanding: they often introduce strong visual cues that bypass spatial reasoning, and focus on static scenes that offer little insight into an agent's capacity for spatial memory. To address this gap, we introduce GeoMind, a systematic benchmark for structured spatial understanding through tabletop manipulation. GeoMind comprises 54 evaluated task variants o”
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- arXiv Robotics — research abstractsSignalGeoMind: A Benchmark for Spatial Understanding in Robotic Manipulation
This paper introduces GeoMind, a new benchmark for evaluating spatial understanding in robotic manipulation. It consists of 54 task variants focused on spatial reasoning and memory, addressing limitations in existing benchmarks that rely on strong visual cues or static scenes. The authors release an automated pipeline for generating and annotating tasks with verified targets and executable interactions. Evaluations across diverse embodied agents reveal consistent weaknesses in tracking identities after spatial changes and converting relational constraints into actions.
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