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· 2023 · arXiv 2023.103958

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cs.LG 1

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2026 1

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UNVERDICTED 1

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Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming

cs.LG · 2026-06-07 · unverdicted · novelty 6.0

Co-GLANCE distills vision-language models into an end-to-end onboard model for occlusion segmentation and robot allocation, using conformal prediction plus selective abstention to trigger active perception and achieve 25-36% higher accuracy with 350x lower latency than cloud baselines.

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  • Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming cs.LG · 2026-06-07 · unverdicted · none · ref 23

    Co-GLANCE distills vision-language models into an end-to-end onboard model for occlusion segmentation and robot allocation, using conformal prediction plus selective abstention to trigger active perception and achieve 25-36% higher accuracy with 350x lower latency than cloud baselines.