The work creates NIABench and an LLM-plus-scoring-model framework that enables robots to deliver proactive assistance during human multi-step activities while avoiding interruptions and reducing human effort.
Hoi4abot: Human-object interaction anticipation for human intention reading collaborative robots
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A pair-centric set-prediction model unifies present HOI detection and multi-horizon anticipation in video by modeling future interactions as residual transitions from current pair states, backed by a temporally corrected benchmark.
citing papers explorer
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Assistance Without Interruption: A Benchmark and LLM-based Framework for Non-Intrusive Human-Robot Assistance
The work creates NIABench and an LLM-plus-scoring-model framework that enables robots to deliver proactive assistance during human multi-step activities while avoiding interruptions and reducing human effort.
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Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation
A pair-centric set-prediction model unifies present HOI detection and multi-horizon anticipation in video by modeling future interactions as residual transitions from current pair states, backed by a temporally corrected benchmark.