Papers
7
Total Citations
243
H-Index
5
About
N. Kelly-Boxall is a robotics researcher whose work spans autonomous manipulation, robotic perception, and assistive technologies. Best known as a key contributor to **Cartman**, the award-winning robot that claimed first place at the 2017 Amazon Robotics Challenge, Kelly-Boxall has made significant strides in making capable robotic systems both cost-effective and practically deployable. The Cartman platform — a custom-built Cartesian manipulator designed for autonomous warehouse pick-and-place tasks — has attracted over 150 citations across multiple publications, demonstrating its substantial influence on the robotics community. Kelly-Boxall's contributions extend beyond mechanical design into the full robotic pipeline. Their work on semantic segmentation from limited training data (52 citations) tackled one of the competition's hardest challenges: recognizing unseen object categories in cluttered, real-world scenes with reflective and transparent surfaces. Complementing this, research into multi-modal end-effector design highlights an integrated approach to grasping that proved decisive in competitive conditions. Earlier work on electrooculography-based control of a meal assistance robot signals a broader commitment to human-centered robotics. Together, Kelly-Boxall's research portfolio reflects a researcher who bridges elegant engineering design with practical, real-world impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2Semantic Segmentation from Limited Training Data52 citations · 2018
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- 4
- 5Mechanical Design of a Cartesian Manipulator for Warehouse Pick and Place10 citations · 2017
- 6Semantic Segmentation from Limited Training Data5 citations · 2017
- 7Electrooculography Signal based Control of a Meal Assistance Robot3 citations · 2016