Papers
7
Total Citations
129
H-Index
5
About
Dr. Vui Ann Shim is a leading researcher in bio-inspired robotics and cognitive systems, whose work bridges neuroscience and autonomous navigation. Her primary research areas include cognitive map building, brain-inspired simultaneous localization and mapping (SLAM), and neuro-cognitive architectures for mobile robots. Dr. Shim’s most significant contributions lie in developing entorhinal-hippocampal models that enable robots to construct spatial cognitive maps, mimicking the neural mechanisms of place and grid cells in the mammalian brain. Her seminal 2015 paper on this topic has garnered 37 citations, while her 2013 work on RGB-D based cognitive map building and navigation, with 35 citations, demonstrated practical applications using affordable sensors. She has also advanced automatic object searching in unstructured environments using deep belief networks (20 citations) and direction-driven navigation systems (20 citations). Notably, Dr. Shim’s neuro-cognitive systems integrate hierarchical vision architectures with hippocampal-like circuitry, and her simplified cerebellar model with priority-based delayed eligibility trace learning addresses motor control challenges. Her work has been cited over 130 times, establishing her as a key figure in the intersection of computational neuroscience and robotics, inspiring new approaches to autonomous spatial reasoning and behavior learning.
Research Focus
Key Achievements
Top Papers
- 1An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building37 citations · 2015
- 2RGB-D based cognitive map building and navigation35 citations · 2013
- 3
- 4Direction-driven navigation using cognitive map for mobile robots20 citations · 2014
- 5Automatic object searching by a mobile robot with single RGB-D camera7 citations · 2017
- 6A neuro-cognitive system and its application in robotics5 citations · 2013
- 7