ArticleScience advances2025
Skin-interfaced multimodal sensing and tactile feedback system as enhanced human-machine interface for closed-loop drone control.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Origami-Mediated Low-Voltage Electret Soft Robotic Actuators for Human-Machine Haptic Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Multimodal, wearable sensors with tactile communication capabilities for human and robotic applications.Device · 2026Article
- Reduction of appearance artifacts in wearable on-skin electronics.Science advances · 2026Article
- Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- An electronic fingerprint device based on spiral patterned tactile pixel array for augmented human-machine interactions.Nature communications · 2026Article
- An AI-driven, wearable, conformal ring system for real-time and user-independent sign language interpretation.Science advances · 2026Article
- Artificial Intelligence-Enhanced Flexible Sensors for Human Motion and Posture Sensing.Sensors (Basel, Switzerland) · 2026Review
- Non-Invasive Brain-Computer Interfaces: Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration.Nano-micro letters · 2026Review
- Multimaterial 3D printed soft robots with embedded actuation and sensing.Science advances · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unmanned aerial vehicles have undergone substantial development and market growth recently. With research focusing on improving control strategies for better user experience, feedback systems, which are vital for operator awareness of surroundings and flight status, remain underdeveloped. Current bulky manipulators also hinder accuracy and usability. Here, we present an enhanced human-machine interface based on skin-integrated multimodal sensing and feedback devices for closed-loop drone control. This system captures hand gestures for intuitive, rapid, and precise control. An integrated tactile actuator array translates the drone's posture into two-dimensional tactile information, enhancing the operator's perception of the flight situation. Integrated obstacle detection and neuromuscular electrical stimulation-based force feedback system enable collision avoidance and flight path correction. This closed-loop system combines intuitive controls and multimodal feedback to reduce training time and cognitive load while improving flight stability, environmental awareness, and the drone's posture. The use of stretchable electronics also addresses wearability and bulkiness issues in traditional systems, advancing human-machine interface design.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.