Papers
5
Total Citations
142
H-Index
4
About
Lionel Leotoing is a leading researcher in advanced manufacturing processes, with a primary focus on robotic incremental sheet forming and process-machine interactions. His work addresses critical challenges in flexible forming technologies, particularly the integration of robotics with single point incremental forming (SPIF) to enhance manufacturing flexibility for small-batch production in automotive and biomedical industries. Leotoing’s major contributions include developing off-line compensation methods for tool path deviations in robotic machining, as demonstrated in his highly cited 2012 paper (99 citations), which couples finite element analysis with elastic machine modeling to correct robot tool paths. His 2014 work on process/machine coupling (30 citations) further advances this approach, while his 2013 study on force prediction for tool path correction (7 citations) provides foundational methodology for Robotized Single Point Incremental Forming (RSPIF). More recently, Leotoing has contributed to material characterization for load prediction and the mechanical modeling of titanium alloys in incremental forming. His research has significant implications for improving the accuracy and reliability of robotic forming processes, enabling their application in high-precision industries.
Research Focus
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