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Engineering design processes face increasingly complex problems characterized by conflicting requirements. Such challenging constraints exist particularly in certain fields such as prosthetics where mechanical simplicity and natural motion replication have to be guaranteed in a limited available space. The objective of this research is to propose and validate an innovative methodological framework combining TRIZ (Theory of Inventive Problem Solving) and an information retrieval pipeline to accelerate innovation processes through patent analysis. We conducted a case study focused on designing an innovative prosthetic thumb, considering that the solution must ensure simplicity, mechanical stability, and compatibility with 3D printing technologies, while simultaneously guaranteeing natural and flexible motion within limited spatial constraints. Early results from the case study demonstrate that our methodological approach enhanced creativity and accelerated solution development. This research demonstrates the potential of a unified innovation framework combining TRIZ theory and artificial intelligence (AI) for patent retrieval to address a wide range of engineering challenges involving contradictory requirements.

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A Methodological Framework Integrating TRIZ and AI to Address Complex Design Contradictions: Application to an Innovative Prosthetic Thumb

  • 会议论文

  • 发表日期：

    2026年

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  • Margherita Nada,
  • Iliass Ayaou,
  • Hicham Chibane,
  • Philippe Liverneaux,
  • Denis Cavallucci

摘要

Engineering design processes face increasingly complex problems characterized by conflicting requirements. Such challenging constraints exist particularly in certain fields such as prosthetics where mechanical simplicity and natural motion replication have to be guaranteed in a limited available space. The objective of this research is to propose and validate an innovative methodological framework combining TRIZ (Theory of Inventive Problem Solving) and an information retrieval pipeline to accelerate innovation processes through patent analysis. We conducted a case study focused on designing an innovative prosthetic thumb, considering that the solution must ensure simplicity, mechanical stability, and compatibility with 3D printing technologies, while simultaneously guaranteeing natural and flexible motion within limited spatial constraints. Early results from the case study demonstrate that our methodological approach enhanced creativity and accelerated solution development. This research demonstrates the potential of a unified innovation framework combining TRIZ theory and artificial intelligence (AI) for patent retrieval to address a wide range of engineering challenges involving contradictory requirements.