Andrew Blanksby
Papers
2
Total Citations
25
H-Index
2
About
Andrew Blanksby is a pioneer in biologically inspired sensing and analog VLSI design, with a career focused on translating neural computation principles into practical microelectronic systems. His key research areas include neuromorphic engineering, smart sensor design, and bio-inspired robotics, particularly for collision avoidance and obstacle detection. Blanksby’s most notable contribution is the development of a VLSI smart sensor that mimics the early visual processing stages of insects, enabling compact, low-power collision avoidance systems—a concept detailed in his 1995 paper, which has garnered 19 citations. This work exemplifies the “smart sensor” paradigm, integrating detection and processing on a single chip. In a related study (6 citations), he advanced a technology-independent framework for obstacle avoidance, arguing for a shift from function-specific to multifunctional, biologically grounded solutions. Blanksby’s research bridges biology and engineering, offering elegant, efficient alternatives to conventional sensor systems. His achievements demonstrate how insect vision can inspire robust, minimalist hardware, making his work foundational for students and researchers exploring neuromorphic systems, autonomous navigation, and energy-efficient sensing technologies.
Research Focus
Key Achievements
Top Papers
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- 2