{"id":34647,"date":"2020-07-30T16:14:12","date_gmt":"2020-07-30T08:14:12","guid":{"rendered":"\/blog\/?p=34647"},"modified":"2020-07-30T16:22:16","modified_gmt":"2020-07-30T08:22:16","slug":"new-data-driven-method-to-control-the-movement-of-multiple-crazyflie-by-caltech-machine-learning-helps-robot-swarms-coordinate","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2020\/07\/30\/new-data-driven-method-to-control-the-movement-of-multiple-crazyflie-by-caltech-machine-learning-helps-robot-swarms-coordinate\/","title":{"rendered":"New data-driven method to control the movement of multiple Crazyflie by Caltech: Machine Learning Helps Robot Swarms Coordinate"},"content":{"rendered":"\n

The following content firstly appeared on the news of Caltech, Machine Learning Helps Robot Swarms Coordinate<\/a><\/p>\n\n\n\n

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Image: Caltech<\/figcaption><\/figure><\/div>\n\n\n\n

We contacted postdoctoral scholar Wolfgang H\u00f6nig to learn more about the project. It is glad to know the project was using Crazyflie. Videos and projects used Crazyflie 2.X, with a mix of the previous version Crazyflie 2.0<\/a> and the latest version of Crazyflie 2.1<\/a>. Wolfgang said that Crazyflie 2.1 was in particular advantageous for the Neural-Swarm project due to the lower noise of its IMU sensor<\/strong>. The “large” drones in the Neural-Swarm project use Crazyflie 2.1 as control boards, but different motors + frames. <\/p>\n\n\n\n

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Crazyflie 2.1<\/a><\/figcaption><\/figure><\/div>\n\n\n\n

Engineers at Caltech have designed a new data-driven method to control the movement of multiple robots through cluttered, unmapped spaces, so they do not run into one another.<\/p>\n\n\n\n

Multi-robot motion coordination is a fundamental robotics problem with wide-ranging applications that range from urban search and rescue to the control of fleets of self-driving cars to formation-flying in cluttered environments. Two key challenges make multi-robot coordination difficult: first, robots moving in new environments must make split-second decisions about their trajectories despite having incomplete data about their future path; second, the presence of larger numbers of robots in an environment makes their interactions increasingly complex (and more prone to collisions).<\/p>\n\n\n\n

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