F. Leo Princely

National Institute of Technology Tiruchirappalli

Papers

Total Citations

H-Index

About

F. Leo Princely is a researcher whose work sits at the intersection of robotics, manufacturing, and computer vision, with a primary focus on automating the finishing of industrial cast parts. His key contribution is pioneering a "teach-less" robotic system for deburring—the removal of sharp edges and burrs from metal workpieces. This work directly addresses a critical bottleneck in batch production: the time-consuming and labor-intensive process of manually programming robots for each new part shape. His most cited paper, "Vision Assisted Robotic Deburring of Edge Burrs in Cast Parts" (2014, 35 citations), introduces a system that uses a camera to automatically identify a workpiece's geometry, eliminating the need for traditional "teach" or offline programming. This innovation dramatically reduces setup time and increases flexibility for manufacturers. Princely further refined this approach by applying the TOPSIS multi-criteria decision-making method to optimize deburring process parameters, as detailed in his 2019 paper. His work represents a significant step toward more autonomous and adaptable industrial robots, making high-mix, low-volume manufacturing more efficient and accessible.