Papers

8

Total Citations

72

H-Index

6

About

Jonathan Corney is a researcher whose work spans computational geometry, robotics, manufacturing automation, and assistive robotic systems. He is perhaps best known for his sustained contributions to octree-based computational methods, which he has applied across a remarkable range of engineering challenges. His pioneering OcBlox system demonstrated how octree decomposition of 3D geometric models could drive robotic assembly cells to construct physical prototypes — a novel alternative to layer-based rapid prototyping approaches that he critiqued as early as 2002. This foundational work evolved into practical applications in near net shape manufacturing (2008) and fully automated assembly planning for both robotic and manual workflows (2010), collectively accumulating around 50 citations and establishing octree decomposition as a versatile manufacturing tool. In later years, Corney turned his attention to intelligent robotics for real-world environments, contributing work on semantic path planning and navigation among movable obstacles for household robots (2019). His 2018 review of high-level robot functionality for elderly care reflects a growing commitment to socially impactful applications of autonomous systems. Taken together, his research traces an ambitious arc — from geometric algorithms and digital fabrication toward robots that can meaningfully assist people in their daily lives.

Research Focus

Key Achievements

6
H-Index
8
Papers
72
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Automatic generation of robot and manual assembly plans using octrees
14 citations · 2010
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Strathclyde, Heriot-Watt University, Heriot-Watt University Malaysia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago