Opteran Technologies :: Neural Pathways Insects Use for Navigation, Collision Avoidance & Decision-Making

Opteran Technologies is a UK-based robotics and AI company founded in 2020 as a spin-out from the University of Sheffield. The company is pioneering a fundamentally new approach to autonomy called “Natural Intelligence.” Instead of relying on traditional deep-learning or large-scale training data, Opteran reverse-engineers the neural pathways insects use for navigation, collision avoidance, and decision-making. This bio-inspired technology, which they call the Opteran Brain, allows machines to perceive and navigate complex environments with extremely low compute power, no GPS, and no cloud connectivity.

The core product family is built around three main offerings:

• Opteran Mind – Their flagship autonomy engine that delivers insect-like navigation, obstacle avoidance, and spatial intelligence. It runs in real time on low-cost embedded hardware.
• Opteran See – A vision-based sensing system that mimics the compound eyes and optic flow processing of insects, giving robots and vehicles robust depth perception and motion detection even in challenging lighting conditions.
• Opteran Pick – A specialized solution for robotic picking and manipulation tasks that combines their natural intelligence vision with precise control.

Opteran’s technology is currently deployed across several sectors including warehouse and logistics automation, last-mile delivery drones, defense and security robotics, agriculture, and mining. Their systems are particularly popular in environments where traditional SLAM or lidar-based solutions struggle — such as dense foliage, indoor warehouses with repetitive visuals, or GPS-denied areas.

One of the biggest differentiators highlighted on the site is the dramatic reduction in Size, Weight, Power and Cost (SWaP-C). Because the algorithms are inspired by insect brains (which operate on fractions of a watt), Opteran’s solutions can run on very small processors while still delivering reliable autonomy. The company claims their system requires 100–1000× less compute than typical deep-learning approaches.

Opteran has raised significant venture funding and has grown rapidly since its founding. It maintains strong ties with the University of Sheffield’s Department of Computer Science and continues to publish research on bio-inspired neural processing. The company positions itself as an enabler for the next generation of truly scalable, low-cost autonomous robots that can be deployed at massive scale in real-world, unstructured environments.