Andreas Koch
Papers
6
Total Citations
110
H-Index
5
About
Andreas Koch is a leading researcher in high-performance computing, geometric algebra, and real-time computer vision. His work focuses on accelerating complex mathematical and algorithmic tasks through innovative hardware and software co-design. A major contribution is his development of Gaalop, a tool that enables high-performance parallel computing based on Conformal Geometric Algebra (45 citations), making this powerful mathematical framework practical for engineering. Koch has also pioneered scalable hardware architectures for real-time stereo vision, particularly for the computationally demanding Semi-Global Matching algorithm (25 citations), which is critical for robotics and automation. His research consistently demonstrates how reconfigurable computers and GPUs can dramatically improve both the speed and energy efficiency of geometric algebra computations (19 citations). Notably, he has applied these techniques to humanoid robotics, solving inverse kinematics with optimized code generation (12 citations). Through his involvement with the 1. RFC Stuttgart robot soccer team, Koch bridges theory and practice, using RoboCup as a testbed for multi-agent systems and real-time decision-making. With over 100 total citations, his work continues to shape how complex geometric and vision algorithms are efficiently implemented in hardware.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 51. RFC Stuttgart Team Description 20095 citations · 2009
- 6Advanced Data Logging in RoboCup4 citations · 2009