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About

Philipp Walderich is a researcher working at the intersection of advanced manufacturing, robotics, and artificial intelligence, with a particular focus on laser-based production systems and their integration with modern robotic platforms. His most cited work, "Effects of path accuracy on additively manufactured specimens by laser material deposition using six-axis robots" (2021, 14 citations), investigates how robotic path precision influences the quality of components produced through laser material deposition — a contribution that directly addresses productivity bottlenecks in additive manufacturing. Building on this foundation, his 2023 research into mobile robots for laser materials processing expands the operational flexibility of these systems, pushing beyond conventional fixed kinematic setups. Walderich has also contributed to broader Industry 4.0 discourse through his involvement in work on the Internet of Production and actionable artificial intelligence, exploring how AI can enhance human-robot collaboration and inter-company connectivity in smart manufacturing environments. More recently, his investigation into LSTM-based inverse dynamics learning for the Franka Emika Robot signals a growing interest in data-driven approaches to robot control. Collectively, his work positions him as an emerging contributor bridging precision manufacturing, intelligent robotics, and the evolving demands of future production systems.