Whisker-based Tactile Flight for Tiny Drones

2025-10-03

AI Summary

Micro-scale aerial robots suffer from visual perception failure in low-light, smoky, or dusty environments. To address this, we propose a 3.2-g biomimetic whisker sensing system comprising pneumatic whisker sensors, a lightweight, low-drift depth estimation algorithm, and a real-time noise suppression module—fully deployed on an embedded platform with only 192 KB RAM. This is the first system enabling micro-drones to perform continuous contour tracking and autonomous obstacle avoidance against both soft and rigid obstacles under complete darkness, achieving sub-6-mm depth estimation accuracy. Experimental results demonstrate stable flight and autonomous exploration in unlit, geometrically complex spaces. The system significantly enhances the robustness of micro-robotic perception in critical applications including search-and-rescue, security surveillance, and environmental monitoring.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Computer Vision: Vision for Robotics & Autonomous Driving
• Multiagent Systems: Distributed Problem Solving

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Search and Retrieval-Augmented AI: Personalized, context-aware and across-device search

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.

Problem

• Enabling tiny drones to navigate without vision in extreme environments
• Developing whisker-based tactile sensing for obstacle detection in darkness
• Addressing sensor noise to achieve sub-6mm tactile depth estimation accuracy

Innovation

• Lightweight whisker-based tactile sensing apparatus
• Barometer-based whisker sensors detect obstacle locations
• Tactile depth estimation method with sub-6mm accuracy