Steven Grainger
Papers
8
Total Citations
214
H-Index
6
About
Steven Grainger is a versatile robotics and computer vision researcher whose work spans bio-inspired algorithms, robotic manipulation, and multi-robot systems. He is perhaps best known for his pioneering contributions to insect-inspired target tracking, drawing on the neurophysiology of flying insects — creatures with remarkably small brains yet extraordinary visual acuity — to develop lightweight, real-time tracking algorithms deployable on autonomous robotic platforms. His landmark 2017 papers on insect-inspired target pursuit in natural environments have collectively attracted nearly 100 citations, demonstrating the practical viability of biologically motivated computer vision in challenging real-world conditions. Grainger's research breadth is equally impressive. His 2014 work on Stewart platform-based manipulators achieving micron-level precision under large external loads (39 citations) highlights his expertise in high-accuracy robotic control, while his 2019 contributions to heterogeneous multi-robot routing using sequential single-item auctions (42 citations) reflect a strong command of autonomous systems coordination. More recently, he has explored cable-driven hyper-redundant manipulators for agricultural environments and security frameworks for collaborative autonomous systems. Together, his body of work positions him as a significant contributor to the fields of bio-inspired robotics, precision manipulation, and intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Performance of an insect-inspired target tracker in natural conditions53 citations · 2017
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