Computational Design of Personalized Wearable Robotic Limbs
Artin Saberpour Abadian, Ata Otaran, Martin Schmitz, Marie Muehlhaus, Rishabh Dabral, Diogo Luvizon, Azumi Maekawa, Masahiko İnami, Christian Theobalt, Jürgen Steimle
- 发表年份
- 2023
- 引用次数
- 8
- 访问权限
- 开放获取
摘要
Wearable robotic limbs (WRLs) augment human capabilities through robotic structures that attach to the user’s body. While WRLs are intensely researched and various device designs have been presented, it remains difficult for non-roboticists to engage with this exciting field. We aim to empower interaction designers and application domain experts to explore novel designs and applications by rapidly prototyping personalized WRLs that are customized for different tasks, different body locations, or different users. In this paper, we present WRLKit, an interactive computational design approach that enables designers to rapidly prototype a personalized WRL without requiring extensive robotics and ergonomics expertise. The body-aware optimization approach starts by capturing the user’s body dimensions and dynamic body poses. Then, an optimized fabricable structure of the WRL is generated for a desired mounting location and workspace of the WRL, to fit the user’s body and intended task. The results of a user study and several implemented prototypes demonstrate the practical feasibility and versatility of WRLKit.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991