Whisker-based Tactile Flight for Tiny Drones
Chaoxiang Ye, Guido de Croon, Salua Hamaza
- Year
- 2025
- Access
- Open access
Abstract
Tiny flying robots hold great potential for search-and-rescue, safety inspections, and environmental monitoring, but their small size limits conventional sensing-especially with poor-lighting, smoke, dust or reflective obstacles. Inspired by nature, we propose a lightweight, 3.2-gram, whisker-based tactile sensing apparatus for tiny drones, enabling them to navigate and explore through gentle physical interaction. Just as rats and moles use whiskers to perceive surroundings, our system equips drones with tactile perception in flight, allowing obstacle sensing even in pitch-dark conditions. The apparatus uses barometer-based whisker sensors to detect obstacle locations while minimising destabilisation. To address sensor noise and drift, we develop a tactile depth estimation method achieving sub-6 mm accuracy. This enables drones to navigate, contour obstacles, and explore confined spaces solely through touch-even in total darkness along both soft and rigid surfaces. Running fully onboard a 192-KB RAM microcontroller, the system supports autonomous tactile flight and is validated in both simulation and real-world tests. Our bio-inspired approach redefines vision-free navigation, opening new possibilities for micro aerial vehicles in extreme environments.
Keywords
Related papers
How to Relieve Distribution Shifts in Semantic Segmentation for Off-Road Environments
Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon +2 more
2026
Uncertainty-guided evolvable recognition framework for industrial robots via prototype-based fuzzy inference and evidence fusion
Yanrun Zhou, Zihao Lei, Guangrui Wen +4 more
Robotics and Computer-Integrated Manufacturing · 2026
Point cloud registration for non-destructive, high-resolution coating thickness measurement from 3D scans
Simon Duenser, Ivo Aschwanden, Raamadaas Krishnadas +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Toward the intelligent robotics era: Multimodal flexible haptic sensors for advanced perception systems
Sili Ding, Feng Xu, Jie Chen +3 more
Progress in Materials Science · 2026