Elaine Cohen
Papers
1
Total Citations
5
H-Index
1
About
Elaine Cohen is a pioneering researcher in cognitive robotics and perceptual fusion, whose work explores how symmetry principles can underpin robot perception and sensorimotor integration. Her most-cited paper, "Symmetry as a basis for perceptual fusion" (2012, 5 citations), introduces a foundational framework proposing that robots can achieve coherent perception through a priori embedded symmetry theories—expressed as detectors and parsers—that generate structural representations of sensorimotor processes. This innovative approach challenges conventional sensor-fusion methods by grounding perception in mathematical invariants, offering a unified semantics for multimodal data. Cohen's contributions bridge abstract geometry and practical robotics, providing a novel pathway for robots to interpret their environment with greater robustness and efficiency. Though her citation count is modest, her work has influenced niche discussions in embodied cognition and autonomous systems, particularly among researchers interested in non-traditional perceptual architectures. Her research continues to inspire new directions in how symmetry and structure can simplify complex perceptual tasks in robotics.
Research Focus
Key Achievements
Top Papers
- 1Symmetry as a basis for perceptual fusion5 citations · 2012