Sema Alptekin
Papers
2
Total Citations
13
H-Index
2
About
Sema Alptekin is a pioneering researcher in intelligent robotics and manufacturing automation, with a career dedicated to enhancing robotic autonomy and reliability. Her key research areas include artificial neural networks for robotic control, error recovery in automated workcells, and knowledge-based diagnostic systems. Alptekin’s most notable contribution is her foundational work on applying artificial neural networks to robotics coordinate transformation, a 1992 paper that has garnered 10 citations and laid early groundwork for adaptive robotic control. She further advanced the field with her 1994 study on error recovery in intelligent robotic workcells, which advocated for knowledge-base-oriented diagnostic systems to enable untended, robust operation—a critical step toward fully autonomous manufacturing. Though her citation counts are modest, her research was ahead of its time, addressing fundamental challenges in robotic flexibility and fault tolerance. Alptekin’s work remains relevant for students and researchers exploring the intersection of machine learning and industrial robotics, particularly in developing self-correcting systems for complex assembly tasks.
Research Focus
Key Achievements
Top Papers
- 1Artificial neural networks for robotics coordinate transformation10 citations · 1992
- 2Error recovery in intelligent robotic workcells3 citations · 1994