Sven Pfeiffer
Papers
2
Total Citations
13
H-Index
2
About
Sven Pfeiffer is a robotics researcher specializing in resource-constrained autonomous navigation and multi-robot coordination. His primary contributions lie in stereo visual-inertial odometry (VIO) and relative localization for robots with limited computational power. His most-cited work, "Stereo Visual Inertial Odometry for Robots with Limited Computational Resources" (2021, 11 citations), addresses a critical bottleneck in field robotics: the high computational cost of stereo VIO algorithms. By modifying the efficient S-MSCKF framework, Pfeiffer demonstrated that accurate, real-time state estimation is achievable even on low-power platforms, enabling robots to maintain high frame rates without sacrificing precision. This work has direct implications for drones, small rovers, and edge-deployed systems. Additionally, his research on "Three-dimensional relative localization and synchronized movement with wireless ranging" (2022) explores how teams of robots can coordinate their motions using only onboard sensing and radio-based distance measurements, a key capability for swarm operations in GPS-denied environments. Though early in his career, Pfeiffer’s focus on practical, computationally frugal solutions positions him as a promising voice in accessible autonomy for real-world robotics.
Research Focus
Key Achievements
Top Papers
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- 2