Papers
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Total Citations
1
H-Index
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About
Philipp Lelidis is a researcher advancing the field of mobile robotics, with a primary focus on time-efficient trajectory planning and kinematic optimization. His most-cited work, "Planning of Time-Efficient Trajectories for Mobile Robots with Differential-Drives" (2024), addresses a critical bottleneck in modern manufacturing: the need for faster, more flexible transport systems. By moving beyond simple path planning methods, Lelidis exploits the physical limitations of differential-drive robots to design trajectories that maximize speed without sacrificing safety or precision. This contribution is vital for industries aiming to boost production facility capacities through agile automation. Though early in his career, his work has already garnered attention, with his top paper accumulating 1 citation—a promising start that signals growing interest in practical, performance-driven robotics solutions. Lelidis’s research sits at the intersection of kinematics, control theory, and industrial engineering, offering tangible improvements for autonomous material handling. As flexible manufacturing demands accelerate, his focus on exploiting robot dynamics for time efficiency positions him as a key contributor to next-generation mobile robot systems.
Research Focus
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Top Papers
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