This post is also available in:
עברית (Hebrew)
Robots designed to detect and track chemical sources, such as gas leaks, explosives, or hazardous materials, typically rely on multiple sensors working in perfect coordination. In real-world conditions, however, sensors can fail or become damaged, especially in harsh or unpredictable environments. When this happens, many existing systems struggle to maintain accuracy or stop functioning altogether.
A new bio-inspired approach is offering a way around this limitation. Researchers have developed a robotic system that can continue locating odor sources even if one of its two sensors is no longer operational. Instead of depending on symmetrical inputs, the system adapts its behavior dynamically, allowing it to function with partial sensory data.
The concept is based on the behavior of silkworm moths, which are able to navigate toward odor sources using only one antenna if the other is lost. Rather than relying on fixed rules, the insect adjusts its movement by combining the direction of detected odor signals with its own orientation. This allows it to compensate for missing information and still reach its target.
Engineers translated this strategy into a robotic platform equipped with odor sensors. Instead of averaging inputs from both sides, the robot continuously adjusts its path based on the timing and direction of signals received from the remaining sensor. This creates a flexible navigation method that remains effective even under degraded conditions.
According to TechXplore, testing showed that the robot maintained a high level of accuracy in both indoor and outdoor environments, even when one sensor was disabled. Its performance remained comparable to normal operation, demonstrating resilience in conditions where conventional systems would typically degrade.
From a defense and homeland security perspective, this capability is particularly relevant. Robots used for explosive detection, chemical hazard response, or search-and-rescue operations often operate in environments where equipment damage is likely. A system that continues to function despite sensor failure can improve mission reliability and reduce the risk of incomplete detection.
More broadly, the work highlights how biological systems can inform the design of more robust autonomous platforms. By focusing on adaptability rather than perfect sensing, engineers are developing systems better suited to real-world conditions, where uncertainty and partial failure are the norm rather than the exception.
The research was published here.
