Davide Condorelli

Papers

1

Total Citations

40

H-Index

1

About

Davide Condorelli is a researcher whose work lies at the intersection of robotics, mechanical design, and structural analysis, with a particular focus on parallel kinematic machines (PKMs). His key research areas include elastodynamics, kinematic optimization, and the development of computational tools for advanced machinery. His most notable contribution is the conception of an algorithm that integrates elastodynamics analysis with the inverse positioning and orienting problems of PKMs, a breakthrough that allows designers to streamline complex mechanical assessments into a single, cohesive package. By applying concepts from matrix structural analysis (MSA), Condorelli’s work enables more efficient and accurate modeling of how these machines behave under dynamic loads—a critical step for improving precision and durability in automation and manufacturing. His 2012 paper on this topic has garnered 40 citations, reflecting its value to engineers and researchers seeking to bridge the gap between theoretical mechanics and practical design. Condorelli’s achievements demonstrate a talent for simplifying intricate problems, making his contributions essential reading for students and professionals exploring the frontiers of robotic kinematics and structural dynamics.

Research Focus

Key Achievements

1
H-Index
1
Papers
40
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
An Algorithm to Study the Elastodynamics of Parallel Kinematic Machines With Lower Kinematic Pairs
40 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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