A team from The Netherlands’ Delft University of Technology has created a lightweight, whisker-based tactile sensor for drones. This system allows drones to navigate solely by touch, providing an alternative to cameras, rangefinders, and LiDAR, which often fail in low-visibility conditions such as darkness, dust, or smoke.
The technology is specifically designed for small autonomous robots weighing under 100 grams, which have limitations on carrying heavy sensors, processors, and power sources. The goal is to equip these drones with rich tactile sensing for exploring and flying through unknown environments.
Inspired by how rodents use vibrissae (whiskers) to navigate in tight, dark spaces, the researchers attached two whiskers to the front of a drone. Each whisker is connected to three miniature pressure sensors at its base. When a whisker contacts a surface, changes in these sensors allow the drone to estimate depth and location.
This tactile feedback enables the drone to avoid obstacles, follow surfaces, and map areas based on physical contact.
A key challenge was accounting for airflow disruption on the whiskers. The team developed a real-time processing pipeline that distinguishes turbulence from surface detection, providing millimetric precision. This program is highly efficient, requiring only 34 kilobytes of memory.
This low computational demand allows the tiny drone to sense and respond to its environment in real time without significant overhead.
While not suited for high-speed drones, this lightweight system is a viable option for small drones used in search-and-rescue operations. Its ability to operate in challenging visual conditions makes it suitable for scenarios where human access or visual navigation is difficult.
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Researchers at Delft University of Technology developed a whisker-based tactile sensor system for drones, enabling navigation in dark, dusty, or smoky conditions where traditional sensors fail. This system allows sub-100 gram drones to achieve sub-millimeter precision using only 34KB of software, addressing challenges of sensor weight and environmental limitations for small autonomous robots.