Matteo Ansaloni
Papers
9
Total Citations
321
H-Index
6
About
Matteo Ansaloni is a researcher whose work spans two compelling frontiers of modern manufacturing: robotic machining precision and human-robot collaboration (HRC). His most significant contributions lie in understanding and correcting the inherent inaccuracies of industrial robots when deployed in high-precision machining environments—a challenge that has profound implications for flexible, cost-effective manufacturing. Ansaloni's landmark 2014 paper on improving robotic machining accuracy through experimental error investigation and modular compensation has garnered 134 citations, establishing him as a leading voice in the field. Complementing this, his stiffness modeling work (56 citations) introduced a novel 36-degree-of-freedom model to address positional errors caused by robots' lower rigidity compared to traditional CNC machines. His earlier experimental investigations into error sources in robotic machining (totaling over 50 citations across related works) laid critical groundwork for these compensation strategies. Beyond machining, Ansaloni has made meaningful contributions to HRC system design, developing systematic engineering frameworks for collaborative workcells in biomedical assembly and exploring ergonomic relief for human operators. His sensitivity analysis methodology further reflects a broad commitment to robust engineering design. Collectively, his portfolio demonstrates a researcher dedicated to bridging the gap between robotic capability and industrial demand.
Research Focus
Key Achievements
Top Papers
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- 3Experimental Investigation of Sources of Error in Robot Machining45 citations · 2013
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- 5Evaluation of operator relief for an effective design of HRC workcells22 citations · 2016
- 6Integration of CAM off-line programming in robot high-accuracy machining20 citations · 2013
- 7Experimental Investigation of Error Sources in Robot Machining6 citations · 2013
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