Optimizations and performance of a robotics grasping algorithm described in geometric algebra

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Abstract

The usage of Conformal Geometric Algebra leads to algorithms that can be formulated in a very clear and easy to grasp way. But it can also increase the performance of an implementation because of its capabilities to be computed in parallel. In this paper we show how a grasping algorithm for a robotic arm is accelerated using a Conformal Geometric Algebra formulation. The optimized C code is produced by the CGA framework Gaalop automatically. We compare this implementation with a CUDA implementation and an implementation that uses standard vector algebra. © 2009 Springer-Verlag Berlin Heidelberg.

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APA

Wörsdörfer, F., Stock, F., Bayro-Corrochano, E., & Hildenbrand, D. (2009). Optimizations and performance of a robotics grasping algorithm described in geometric algebra. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5856 LNCS, pp. 263–271). https://doi.org/10.1007/978-3-642-10268-4_31

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