Christopher Larcombe
Papers
2
Total Citations
19
H-Index
2
About
Christopher Larcombe is a researcher whose work sits at the intersection of cognitive robotics, neuro-robotics, and high-performance computing. His primary contribution is the development of **Aquila**, an open-source, GPU-accelerated toolkit designed to power biologically-inspired models for cognitive and developmental robotics. Created as part of the EU-funded ITALK and RobotDoC projects, Aquila directly addressed the critical need for high-performance, accessible software in robotics research. By leveraging GPU acceleration, Larcombe’s toolkit enabled researchers to run complex neural and cognitive models far more efficiently than with traditional CPU-based systems. While his most-cited papers (with 13 and 6 citations respectively) focus on this foundational software, the impact of Aquila lies in its role as an enabling technology—democratizing access to powerful simulation tools for the broader robotics community. Larcombe’s work exemplifies how open-source engineering can accelerate progress in understanding and building intelligent, embodied systems.
Research Focus
Key Achievements
Top Papers
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