Honeybees do more than just follow the “direction and distance” in another bee’s waggle dance. They seem to combine that message with their own memory of landmarks in the landscape, so they can form an expectation of what the route should look like and fly more efficiently.

27-Mar-2026

This paper looked at how honey bees pass on food-location information through the waggle dance, and found that these recruitment networks are actually quite thin rather than densely connected. In other words, even though the dance is famous, each bee usually ends up recruiting only a small number of other bees rather than spreading the message widely through the whole colony.

27-Mar-2026

The algorithm models ant nest-selection behaviour to solve the “best-of-n” consensus problem using only local signalling. It demonstrates how response thresholds, recruitment, and biasing mechanisms enable robust distributed agreement without central control.

27-Mar-2026

This study shows ants make faster pheromone-guided decisions in low-distraction environments, suggesting that signal clarity vs. environmental noise is a critical factor in stigmergic coordination.

27-Mar-2026

This paper explores a way for drones to communicate with each other visually, instead of relying on radio, by copying signalling ideas from animals like bees, deer, and peacocks. The drones use movement patterns and LED lights as a kind of shared “body language,” and an AI system helps translate what they see into the right visual response.

27-Mar-2026

The accelerator targets startups explicitly using biological signalling, coordination, and adaptation principles. These programs often surface applied implementations of swarm intelligence and collective sensing before they appear in formal literature.

27-Mar-2026

Anyone remember smart dust? A cloud of sensors were thrown from a plane into a .. real cloud to study storms, wind patterns, etc. Since then we have had drones used from food delivery to ordinance delivery. And now we are getting Black Mirror insect robots.

26-Mar-2026

This article says animals in groups, like bees, fish, or birds, can solve problems together through many small local interactions, and engineers are using those same ideas to build robot swarms that can act without a central controller. It also argues the relationship goes both ways: biology inspires better robots, and robots help scientists test how real animal groups make decisions and stay coordinated.

26-Mar-2026

This paper describes an improved ant-inspired algorithm for finding good paths, such as routes for robots or navigation systems. Instead of searching too randomly, it puts more attention on promising areas early, strengthens better routes as it learns, and discourages unnecessary turns, so it finds smoother and better paths faster.

25-Mar-2026

New tools such as AI, automated tracking, drones, and even virtual reality are letting scientists watch animal groups like flocks, schools, and swarms in far more detail than before. That is helping researchers understand how complex group behaviour can emerge from lots of simple local interactions, without any single leader in charge.

25-Mar-2026

This paper describes a new way for groups of robots to make a shared choice, based on how ants seem to decide on the best new nest. Each robot only talks locally with nearby robots, but together they can still agree on the best option out of several, while avoiding the group splitting into separate camps.

25-Mar-2026

This paper looks at how robot swarms can move more smoothly by not only reacting to what nearby robots are doing now, but also by briefly predicting where they are about to move next. The idea is inspired by birds and drones, where small body movements often signal a turn before it actually happens.

24-Mar-2026