Robohub.org
 

Robot-ants that communicate and work together


by
11 July 2019



share this:


A team of EPFL researchers has developed tiny 10-gram robots that are inspired by ants: they can communicate with each other, assign roles among themselves and complete complex tasks together. These reconfigurable robots are simple in structure, yet they can jump and crawl to explore uneven surfaces. The researchers have just published their work in Nature.

Individually, ants have only so much strength and intelligence. However, as a colony, they can use complex strategies for achieving sophisticated tasks to survive their larger predators.
At EPFL, researchers in NCCR Robotics Professor Jamie Paik’s Laboratory have reproduced this phenomenon, developing tiny robots that display minimal physical intelligence on an individual level but that are able to communicate and act collectively. Despite being simple in design and weighing only 10 grams, each robot has multiple locomotion modes to navigate any type of surface. Collectively, they can quickly detect and overcome obstacles, pass them and move objects much larger and heavier than themselves. The related research has been published in Nature.

Robots modeled on trap-jaw ants
These three-legged, T-shaped origami robots are called Tribots. They can be assembled in only a few minutes by folding a stack of thin, multi-material sheets, making them suitable for mass production. Completely autonomous and untethered, Tribots are equipped with infrared and proximity sensors for detection and communication purposes. They could accommodate even more sensors depending on the application.

“Their movements are modeled on those of Odontomachus ants. These insects normally crawl, but to escape a predator, they snap their powerful jaws together to jump from leaf to leaf”, says Zhenishbek Zhakypov, the first author. The Tribots replicate this catapult mechanism through an elegant origami robot design that combines multiple shape-memory alloy actuators. As a result, a single robot can produce three distinctive locomotive motions – crawling, rolling and jumping both vertically and horizontally – just like these creatively resilient ants.

Roles: leader, worker and explorer
Despite having the same “anatomy”, each robot is assigned a specific role depending on the situation. ‘Explorers’ detect physical obstacles in their path, such as objects, valleys and mountains. After detecting an obstacle, they inform the rest of the group. Then, the “leader” gives the instructions. The ‘workers’, meanwhile, pool their strength to move objects. “Each Tribot, just like Odontomachus ants, can have different roles. However, they can also take on new roles instantaneously when faced with a new mission or an unknown environment, or even when other members get lost. This goes beyond what the real ants can do” says Paik.

Future applications
In practical situations, such as in an emergency search mission, Tribots could be deployed en masse. And thanks to their multi-locomotive and multi-agent communication capabilities, they could locate a target quickly over a large surface without relying on GPS or visual feedback. “Since they can be manufactured and deployed in large numbers, having some ‘casualties’ would not affect the success of the mission,” adds Paik. “With their unique collective intelligence, our tiny robots are better equipped to adapt to unknown environments. Therefore, for certain missions, they would outperform larger, more powerful robots.” The development of robots for search-and-rescue applications and the study of collective robotics are key research areas within the NCCR Robotics consortium, of which Jamie Paik’s lab is part.
In April, Jamie Paik has presented her reconfigurable robots at the TED2019 Conference in Vancouver. Her talk is available here.

Literature
Zhenishbek Zhakypov, Kazuaki Mori, Koh Hosoda and Jamie Paik, Designing minimal and scalable insect-inspired multi-locomotion millirobots, Nature
DOI: 10.1038/s41586-019-1388-8



tags:


NCCR Robotics

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

AI brings object-level vision prosthetics closer to reality

  23 Jun 2026
Researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.

AURA Foresight Reaches Global XPRIZE Wildfire Finals in Alaska

  19 Jun 2026
One of only four teams remaining from more than 130 competitors worldwide, our team AURA Foresight is developing autonomous technology to stop wildfires before they grow out of control. AURA Foresi...

Robot Talk Episode 161 – Collaborative haptic systems, with Allison Okamura

  19 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Allison Okamura from Stanford University about developing advanced robotic systems for haptic (touch) interaction.

New research enables a robot to chart a better course

  17 Jun 2026
By rapidly generating a smooth path plan that cuts travel time and avoids obstacles, the open-source “MIGHTY” system could streamline disaster recovery and parcel delivery.

Entangled robotic matter with cohesive motion

  15 Jun 2026
Engineers have developed a robotic collective that behaves less like a machine and more like a material that flows.

Robot Talk Episode 160 – Robotic blacksmiths, with Edward Mehr

  12 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Edward Mehr from Machina Labs about their RoboCraftsman that shapes complex metal parts for the aerospace, defence, and automotive industries.

Congratulations to the #AAMAS2026 best paper award winners

  08 Jun 2026
Find out who won in the categories of best paper, best student paper, and best blue sky paper.

Robot Talk Episode 159 – Robot sensing and manipulation, with Maria Koskinopoulou

  05 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Maria Koskinopoulou from Heriot-Watt University about autonomous robotic manipulators for surgery, industry, and beyond.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence