Miscellaneous

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Collective worm and robot "blobs" protect individuals, swarm together

Feb 11, 2021

Researchers at Georgia Tech are studying the collective behaviors of the California blackworm and applying the worm blob movement principles to swarm robotics.

Saad Bhamla

bhamla.com

 

[Administrator]

Drone swarms avoid obstacles without collision

May 18, 2021

Engineers at EPFL have developed a predictive control model that allows swarms of drones to fly in cluttered environments quickly and safely. It works by enabling individual drones to predict their own behavior and that of their neighbors in the swarm.

Enrica Soria

"Watch a Drone Swarm Fly Through a Fake Forest Without Crashing"
Each copter doesn’t just track where the others are. It constantly predicts where they’ll go.

by Max Levy
June 9, 2021

 

[Administrator]

Simple Robots, Smart Algorithms: Meet the BOBbots

May 3, 2021

Inspired by a theoretical model of particles moving around on a chessboard, new robot swarm research led by Georgia Tech shows that, as magnetic interactions increase, dispersed “dumb robots” can abruptly gather in large, compact clusters to accomplish complex tasks. Researchers report that these “BOBbots” (behaving, organizing, buzzing bots) are also capable of collectively clearing debris that is too heavy for one alone to move, thanks to a robust algorithm.

"Simple Robots, Smart Algorithms: Meet the BOBbots"

April 29, 2021

 

[Administrator]

Loopy - a robot swarm or a single robot?

Jun 18, 2022

Loopy is a robotic swarm of 1- Degree of Freedom (DOF) agents (i.e., a closed-loop made of 36 Dynamixel servos). Each agent (servo) makes it's own local decisions based on interactions with its two neighbors.
In this video, Loopy is trying to go from an arbitrary initial shape to a goal shape (Flying WV).
We have more plans for Loopy...

yugu.faculty.wvu.edu

Playlist "Loopy"

 

[Administrator]

Large scale interactive drone swarm management

Oct 19, 2022

Imagine being able to control a swarm of drones with just your hands or gestures.

In this video, we explore a future concept-of-operations for swarm management and how large groups of robots and drones will be able to interact and work together.

The system senses the operator’s intent and controls drone trajectories and swarm states such as take-off, animation sequences, drone camera controls, and landing in real-time.

State synchronization and inter-swarm communication is managed through a highly optimized distributed control network that is based on our novel zero-trust for robotics architecture.

This technology has many potential applications, including for entertainment and tasks such as search and rescue, inspection or agricultural management.

Additionally, interactive swarm management could also be used for security purposes, as it would allow a large number of drones to be deployed quickly and efficiently. While this technology is still in its early stages, it has great potential and could revolutionize the way we manage large groups of semi-autonomous vehicles.

If you have any questions or would like to learn more, please don’t hesitate to get in touch. We’d be happy to chat with you about this exciting technology and its potential applications. Thank you for watching!