{"id":23429,"date":"2020-10-07T04:10:49","date_gmt":"2020-10-07T02:10:49","guid":{"rendered":"http:\/\/cornay.co.za\/wp\/?p=23429"},"modified":"2020-10-07T04:10:49","modified_gmt":"2020-10-07T02:10:49","slug":"getting-started-with-geometric-algebra-for-robotics-computer-vision-and-more","status":"publish","type":"post","link":"http:\/\/cornay.co.za\/wp\/2020\/10\/07\/getting-started-with-geometric-algebra-for-robotics-computer-vision-and-more\/","title":{"rendered":"Getting Started With Geometric Algebra For Robotics, Computer Vision And More"},"content":{"rendered":"

[Hugo Hadfield] wrote to let us know about an intriguing series of talks that took place in February of this year at GAME2020, on the many applications of geometric algebra. The video playlist of these talks can be found here <\/a>along with the first video embedded after the break. For those of us who did not take advanced algebra during university, one can picture geometric algebra (GA) as an extension of vector algebra<\/a>, adding more algebraic structures.<\/p>\n

The essential difference is that GA adds a new vectors product, called the ‘geometric product’. The Cliff’s Notes version is that this is very useful for doing for example transformations, like in 3D spaces. For a quick algebraic introduction to GA for those familiar with vector algebra, the associated biVector website<\/a> is helpful, from where one can also find additional information, software and other resources on getting started with GA.<\/p>\n

These talks<\/a> will take the viewer through the use of GA with robot kinematics (co-presented by [Hugo]), in astrophysics and AI. Definitely worth a watch, even algebra isn’t one’s strongest points.<\/p>\n

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