The Potential of Haptic Foundation Models
Despite the success of foundation models in language and vision, their expansion into embodied AI is bottlenecked by a lack of generalized touch sensing. This limitation is especially relevant to consumer electronics, where smartphones, wearables, VR controllers, home robots, and health monitoring devices require safe and adaptive physical interaction. Constrained by hardware heterogeneity and the necessity of active physical data collection, current haptic models remain rigidly task-specific. To overcome these limitations, this article explores the transformative potential and developmental trajectory of Haptic Foundation Models (HFMs). We detail the paradigm shift required to transition...
| Authors | Jianquan Wang, Haiwei Dong, Abdulmotaleb El Saddik |
|---|---|
| Primary category | cs.RO |
| Published | 23 August 2026 |
| Last updated at source | 23 August 2026 |
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