Papers

10

Total Citations

128

H-Index

6

About

Pierluigi Arpenti is a robotics researcher whose work bridges two seemingly distinct domains: supermarket logistics and bipedal locomotion. His primary contributions lie in developing autonomous robotic systems for depalletizing—the process of unloading mixed-case pallets—and in advancing control strategies for underactuated walking robots. In logistics, Arpenti has created a complete perception-to-grasp pipeline, using RGB-D cameras to detect, recognize, and localize heterogeneous cases, paired with a reconfigurable gripper that adapts to different box sizes. His three most-cited papers on this topic (29, 27, and 26 citations respectively) have collectively shaped how small facilities like supermarkets can adopt flexible automation without overhauling existing workflows. On the locomotion side, Arpenti has made notable theoretical contributions to passivity-based control, particularly through Interconnection and Damping Assignment (IDA-PBC), where he developed constructive methodologies for solving the partial differential equations that govern underactuated systems. His work on energy pumping-and-damping has improved gait robustness in compass-like biped robots, and his recent 2024 paper on nonlinear model predictive control for variable center-of-mass walking (12 citations) demonstrates his ongoing push toward more natural, energy-efficient bipedal motion.

Research Focus

Key Achievements

6
H-Index
10
Papers
128
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
RGB-D Recognition and Localization of Cases for Robotic Depalletizing in Supermarkets
29 citations · 2020
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Naples Federico II, Federico II University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago