Papers
60
Total Citations
1,396
H-Index
17
About
Yulia Sandamirskaya is a leading researcher at the intersection of neuromorphic computing, robotics, and cognitive neuroscience, whose work has significantly advanced the development of brain-inspired hardware and algorithms for autonomous systems. Her research focuses on neuromorphic engineering—designing energy-efficient, event-driven computing architectures that emulate biological neural dynamics—and applying these principles to real-world robotic challenges. Sandamirskaya's most cited contribution, "Neuro-inspired electronic skin for robots" (2022, 276 citations), reflects her broad engagement with somatosensory systems and embodied intelligence. Her neuromorphic robotics work spans obstacle avoidance, UAV navigation, pose estimation, and neuromorphic SLAM, demonstrating that spiking neural networks running on ultra-low-power hardware can match or surpass conventional approaches in agility and efficiency. Her 2022 review of neuromorphic computing hardware for robotics (121 citations) has become an essential reference for the field. Beyond hardware, Sandamirskaya has made foundational theoretical contributions through Dynamic Field Theory, exploring how neural instabilities drive sequence generation and higher cognition. Her robotic architectures for action selection and behavioral organization bridge low-level sensorimotor control with structured autonomous decision-making. Collectively, her body of work positions her as a pivotal figure shaping the future of intelligent, brain-like machines.
Research Focus
Key Achievements
Top Papers
- 1Neuro-inspired electronic skin for robots276 citations · 2022
- 2Neuromorphic computing hardware and neural architectures for robotics121 citations · 2022
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