mlsanityData to 14 Oct 2026

Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions

arXiv 2208.05632 ↗First posted 11 Aug 2022cs.RO cs.AI cs.HCcited by 5

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Abstract (arXiv)

Robotic manipulation of highly deformable cloth presents a promising opportunity to assist people with several daily tasks, such as washing dishes; folding laundry; or dressing, bathing, and hygiene assistance for individuals with severe motor impairments. In this work, we introduce a formulation that enables a collaborative robot to perform visual haptic reasoning with cloth -- the act of inferring the location and magnitude of applied forces during physical interaction. We present two distinct model representations, trained in physics simulation, that enable haptic reasoning using only visual and robot kinematic observations. We conducted quantitative evaluations of these models in simulation for robot-assisted dressing, bathing, and dish washing tasks, and demonstrate that the trained models can generalize across different tasks with varying interactions, human body sizes, and object shapes. We also present results with a real-world mobile manipulator, which used our simulation-trained models to estimate applied contact forces while performing physically assistive tasks with cloth. Videos can be found at our project webpage.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 25 of its 47 references that are in the map. First posted on arXiv 11 Aug 2022.

Builds on

25 of 47 references.

References · 25

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13 more
  1. 2021FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policycited by 54
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 1; 2025: 1; 2026: 1.

5 papers.