A horizon-agnostic neural operator paired with a boundary control barrier function creates a real-time safety filter that raises safe trajectory rates by up to 22% on fluid manipulation tasks in simulation.
Chal- lenges and outlook in robotic manipulation of deformable objects
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2representative citing papers
A frozen LSTM backbone with FiLM-based few-shot context adaptation estimates tip-level contact forces for deformable swabbing tools across nine surface-tool regimes using only wrist-mounted proprioception.
citing papers explorer
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Online Safety Filter for Deformable Object Manipulation with Horizon Agnostic Neural Operators
A horizon-agnostic neural operator paired with a boundary control barrier function creates a real-time safety filter that raises safe trajectory rates by up to 22% on fluid manipulation tasks in simulation.
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Context-Aware Force Estimation for Deformable Tool Manipulation in Robotic Environmental Swabbing via Few-Shot Continual Adaptation
A frozen LSTM backbone with FiLM-based few-shot context adaptation estimates tip-level contact forces for deformable swabbing tools across nine surface-tool regimes using only wrist-mounted proprioception.