This Ant-Inspired AI Brain Helps Farm Robots Better Navigate Crops

Shelly Fan in Singularity Hub:

Picture this: the setting sun paints a cornfield in dazzling hues of amber and gold. Thousands of corn stalks, heavy with cobs and rustling leaves, tower over everyone—kids running though corn mazes; farmers examining their crops; and robots whizzing by as they gently pluck ripe, sweet ears for the fall harvest.

Wait, robots?

Idyllic farmlands and robots may seem a strange couple. But thanks to increasingly sophisticated software allowing robots to “see” their surroundings—a technology called computer vision—they’re rapidly integrating into our food production mainline. Robots are now performing everyday chores, such as harvesting ripe fruits or destroying crop-withering weeds. With an ongoing shortage in farmworkers, the hope is that machines could help boost crop harvests, reliably bring fresh fruits and veggies to our dinner tables, and minimize waste. To fulfill the vision, robot farmworkers need to be able to traverse complex and confusing farmlands. Unfortunately, these machines aren’t the best navigators. They tend to get lost, especially when faced with complex and challenging terrain. Like kids struggling in a corn maze, robots forget their location so often the symptom has a name: the kidnapped robot problem.

More here.