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Thread: Georgia Robotics and Intelligent Systems (GRITS) Lab, Center for Robotics and Intelligent Machines at Georgia tech (RIM@GT), Georgia Institute of Technology (Georgia Tech), Atlanta, Georgia, USA

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    Georgia Robotics and Intelligent Systems (GRITS) Lab, Center for Robotics and Intelligent Machines at Georgia tech (RIM@GT), Georgia Institute of Technology (Georgia Tech), Atlanta, Georgia, USA


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    Multi-Robot Assignment and Formation Control

    Uploaded on May 6, 2011

    15 Khepera robots executing an assignment and formation control algorithm developed by Edward Macdonald for his Master's thesis at Georgia Tech.

    Initially, the formation translation and rotation is unknown, nor do the robots know to what role they are assigned in the formation. The goal of the algorithm is to have a network of mobile robots build formations while minimizing the total distance traveled by all robots. The only information available to each robot are the relative positions of all other robots. There is no communication between robots. Since each robot has access to the same information (relative positions between robots), they independently come to the same conclusion.

    Robots know their position via an overhead camera system that tracks each robot and broadcasts its position over wifi.

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    Robot Landing Platform Formation

    Uploaded on Jul 27, 2011

    The Khepera robots put on their hats to give their quadrotor friend a place to land.

    This is an extension on the algorithm. The difference is that here we are building moving formations, with a leader robot that acts independently. The followers use the same assignment and formation control algorithm to build and maintain formations with the leader.

    By making a tight box formation, the ground robots build a mobile landing platform that the quadrotor can land on.

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    Robotic Swarm Control Using Clay

    Published on May 3, 2013

    Imagine that you are surrounded by a million robot mosquitos and you have a single "joystick" that you can use for interacting with the swarm. What should this "joystick" be?

    A swarm of robots (Khepera III) is controlled using the clay interface in such a way that no particular skills are required by the operator. Specifically, decentralized and distributed shape controllers allow the operator to form a desired shape presented by molding the clay interface. The abstraction level of the swarm avoids most of the interaction problems that could arise when considering the swarm dynamics, its scale or the communication medium.

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    Robotics at Georgia Tech - GRITS Lab

    Published on Aug 4, 2014

    Check out the Georgia Robotics and Intelligent Systems (GRITS) Lab at Georgia Tech!

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    The GRITS Lab at Georgia Tech specialized in swarm robotics.
    August 20, 2014

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    Control Barrier Certificates for Safe Swarm Behavior

    Published on Apr 28, 2015

    This video illustrates how control barrier certificate can be used to generate provably safe swarm behavior. Control barrier certificate combines the idea of multi-robot collision avoidance with minimal interference to nominal coordination controller. The practical significance of this method is that swarm robotics controllers can be developed without considering collision avoidance, the control barrier certificate will automatically taking care of it when collision is truly imminent.

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    Controlling swarm robots with touch of finger

    Published on May 8, 2015

    Using a smart tablet and a red beam of light, Georgia Institute of Technology researchers have created a system that allows people to control a fleet of robots with the swipe of a finger. A person taps the tablet to control where the beam of light appears on a floor. The swarm robots then roll toward the illumination, constantly communicating with each other and deciding how to evenly cover the lit area. When the person swipes the tablet to drag the light across the floor, the robots follow. If the operator puts two fingers in different locations on the tablet, the machines will split into teams and repeat the process.

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    Published on Jul 29, 2016

    Swarm of robots might collide with each other when performing complicated tasks. It is often hard to plan swarm behaviour with non-intrusive collision avoidance. This video shows how a minimally invasive safety controller can be added such that safety and higher level objectives can be achieved simultaneously.

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