Jill Andrew
Papers
1
Total Citations
5
H-Index
1
About
Jill Andrew is a researcher in cognitive robotics and autonomous navigation, with a focus on biologically inspired architectures for mobile robots. Her most cited work, "Sub-goal based Robot Visual Navigation through Sensorial Space Tesselation" (2013, 5 citations), introduces an evolutionary cognitive architecture that enables robots to navigate visually without relying on precise geometric maps. Instead, Andrew’s approach uses an appearance-based scheme that tessellates sensorial space, leveraging color features to build a graph-based world representation prior to navigation. This work addresses a fundamental challenge in robotics: how to achieve robust, goal-directed movement in unstructured environments using only visual cues. Andrew’s contributions lie in bridging evolutionary computation with sensorimotor control, offering a scalable framework for sub-goal decomposition. While her citation count reflects a niche but impactful audience, her research has implications for field robotics, assistive technologies, and embodied AI. Her work stands out for its elegant integration of cognitive modeling with practical robot navigation, making it a valuable reference for researchers exploring bio-inspired approaches to autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1