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Tool Macgyvering: A Novel Framework for Combining Tool Substitution and Construction

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arxiv 2008.10638 v1 pith:KZCHO773 submitted 2020-08-24 cs.RO

classification cs.RO
keywords toolconstructionmacgyveringsubstitutionobjectsaccuracyapproacharbitration
verification ladder T0 review T1 audit T2 compute T3 formal
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Macgyvering refers to solving problems inventively by using whatever objects are available at hand. Tool Macgyvering is a subset of macgyvering tasks involving a missing tool that is either substituted (tool substitution) or constructed (tool construction), from available objects. In this paper, we introduce a novel Tool Macgyvering framework that combines tool substitution and construction using arbitration that decides between the two options to output a final macgyvering solution. Our tool construction approach reasons about the shape, material, and different ways of attaching objects to construct a desired tool. We further develop value functions that enable the robot to effectively arbitrate between substitution and construction. Our results show that our tool construction approach is able to successfully construct working tools with an accuracy of 96.67%, and our arbitration strategy successfully chooses between substitution and construction with an accuracy of 83.33%.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. VLMgineer: Vision Language Models as Robotic Toolsmiths

    cs.RO 2025-07 conditional novelty 6.0 of 10

    VLMgineer combines VLM-generated URDF tool designs with evolutionary search to co-design tools and action plans, outperforming human-specified and existing tools on a new simulated manipulation benchmark.

  2. RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills

    cs.RO 2025-06 conditional novelty 6.0 of 10

    RobotSmith autonomously designs, 3D-prints, and uses task-specific tools for robotic manipulation, raising task success from 2.8% (no tool) to 50% in simulation.

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