All-printed soft human-machine interface for robotic physicochemical sensing
California Institute of Technology
Indexed incrossrefpubmed
Abstract
Ultrasensitive multimodal physicochemical sensing for autonomous robotic decision-making has numerous applications in agriculture, security, environmental protection, and public health. Previously reported robotic sensing technologies have primarily focused on monitoring physical parameters such as pressure and temperature. Integrating chemical sensors for autonomous dry-phase analyte detection on a robotic platform is rather extremely challenging and substantially underdeveloped. Here, we introduce an artificial intelligence-powered multimodal robotic sensing system (M-Bot) with an all-printed mass-producible soft electronic skin-based human-machine interface. A scalable inkjet printing technology with…
Citation impact
339
total citations
- FWCI
- 24.27
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- 100%
- References
- 48
Citations per year
Authors
9Topics & keywords
Topics
Keywords
- Interface (matter)
- Soft robotics
- Human–computer interaction
- Computer science
- 3d printed
- Human–machine system
- Human–machine interface
- Robot
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