Raphaela Kreiser
ETH Zurich, SIB Swiss Institute of Bioinformatics, University of Zurich
Papers
11
Total Citations
190
H-Index
6
About
Raphaela Kreiser is a pioneering researcher at the intersection of neuromorphic computing, spiking neural networks (SNNs), and autonomous robotics. Her work focuses on developing biologically inspired, ultra-low-power neural architectures capable of enabling sophisticated robot behaviors such as simultaneous localization and mapping (SLAM), pose estimation, and reinforcement learning. Kreiser has made landmark contributions by implementing SNNs on cutting-edge neuromorphic hardware platforms — including Intel's Loihi chip and mixed-signal analog/digital processors — demonstrating that brain-inspired computing can deliver real-time, energy-efficient solutions for challenging robotics problems. Her most influential work, "Pose Estimation and Map Formation with Spiking Neural Networks: towards Neuromorphic SLAM" (2018, 53 citations), established a foundational framework for neuromorphic path integration and spatial mapping in mobile robots. Subsequent studies extended this vision to the humanoid iCub robot and introduced robust learning mechanisms to overcome hardware variability inherent in neuromorphic circuits. Across her portfolio of over ten publications accumulating nearly 190 citations, Kreiser has consistently pushed the boundary of what event-driven, multiplier-less neural architectures can achieve, making her a key voice in the growing field of neuromorphic intelligence for embedded and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 4Neural State Machines for Robust Learning and Control of Neuromorphic Agents22 citations · 2019
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