MORPHeus: a Multimodal One-armed Robot-assisted Peeling System with Human Users In-the-loop
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Abstract (arXiv)
Meal preparation is an important instrumental activity of daily living~(IADL). While existing research has explored robotic assistance in meal preparation tasks such as cutting and cooking, the crucial task of peeling has received less attention. Robot-assisted peeling, conventionally a bimanual task, is challenging to deploy in the homes of care recipients using two wheelchair-mounted robot arms due to ergonomic and transferring challenges. This paper introduces a robot-assisted peeling system utilizing a single robotic arm and an assistive cutting board, inspired by the way individuals with one functional hand prepare meals. Our system incorporates a multimodal active perception module to determine whether an area on the food is peeled, a human-in-the-loop long-horizon planner to perform task planning while catering to a user's preference for peeling coverage, and a compliant controller to peel the food items. We demonstrate the system on 12 food items representing the extremes of different shapes, sizes, skin thickness, surface textures, skin vs flesh colors, and deformability.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2024.
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Citing papers per year: 2024: 2; 2025: 5; 2026: 3.
10 papers.
- 2025Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulationcited by 103
- 2025LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Modelscited by 38
- 2024ForceMimic: Force-Centric Imitation Learning with Force-Motion Capture System for Contact-Rich Manipulationcited by 36
- 2025What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learningcited by 6
- 2024REPeat: A Real2Sim2Real Approach for Pre-acquisition of Soft Food Items in Robot-assisted Feedingcited by 2
- 2025Mash, Spread, Slice! Learning to Manipulate Object States via Visual Spatial Progresscited by 2
- 2026How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preferencecited by 1
- 2025GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Taskscited by 0
- 2026Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulationcited by 0
- 2026CoStream: Composing Simple Behaviors for Generalizable Complex Manipulationcited by 0
- 2026CoStream: Composing Simple Behaviors for Generalizable Complex Manipulation24 Jun 2026
- 2026How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human Preference3 Mar 2026
- 2026Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation14 Feb 2026
- 2025GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Tasks1 Oct 2025
- 2025Mash, Spread, Slice! Learning to Manipulate Object States via Visual Spatial Progress28 Sep 2025
- 2025What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning27 Mar 2025
- 2025LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models22 Mar 2025
- 2025Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation4 Mar 2025
- 2024REPeat: A Real2Sim2Real Approach for Pre-acquisition of Soft Food Items in Robot-assisted Feeding13 Oct 2024
- 2024ForceMimic: Force-Centric Imitation Learning with Force-Motion Capture System for Contact-Rich Manipulation10 Oct 2024