Daniel Bland
Papers
1
Total Citations
20
H-Index
1
About
Daniel Bland is a researcher at the intersection of biology and engineering, whose work explores how principles from insect vision can be translated into robotic systems. His most-cited paper, "From biology to engineering: Insect vision and applications to robotics" (2012, 20 citations), synthesizes decades of biological research on how insects process visual information—such as motion detection, navigation, and obstacle avoidance—and applies these insights to the design of more efficient, lightweight, and autonomous robots. This contribution is particularly notable for bridging the gap between complex neurobiological mechanisms and practical engineering solutions, offering a framework for developing bio-inspired sensors and algorithms. Bland’s work has influenced fields ranging from robotics and computer vision to behavioral ecology, demonstrating how nature’s solutions can inspire technological innovation. While his citation count is modest, his synthesis paper serves as a foundational resource for researchers seeking to integrate biological principles into engineering design. Bland’s research underscores the value of interdisciplinary thinking, making him a key figure in the growing field of bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1From biology to engineering: Insect vision and applications to robotics20 citations · 2012