Sebbe, NaiaraLafuente Carrasco, José LuisAibar, ClaraIglesias, Iván2026-04-222026-04-222026Sebbe, N., Lafuente, J.-L., Aibar, C., & Iglesias, I. (2026). Posture optimization techniques for enhanced robotic machining performance: A review. Journal of Mechanical Engineering and Manufacturing, 2(2), 13. https://doi.org/10.53941/jmem.2026.1000132982-3544https://hdl.handle.net/11268/17042With the advancement of technology and the digitalization of manufacturing processes, optimized production of large-scale structural components faces increasing challenges due to mass product customization, workspace constraints, and the high cost of equipment such as CNC machines. Arm-based robotic manufacturing systems, as a substitutive or complementary alternative with strong potential, have gained significant attention as a means to address current challenges in machining. This work presents a state-of-the-art review of existing techniques and methods for optimizing robotic machining performance, with a particular focus on research advances in posture optimization of articulated robots.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Ingenieríasjournal article10.53941/jmem.2026.100013open accessMáquinaRobóticaIngenieríaGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovationGoal 11: Make cities inclusive, safe, resilient and sustainable