About

Lorenzo Sabattini is a robotics researcher whose work spans multi-robot systems, human-robot interaction, and industrial automation. His most influential contributions lie in two interconnected domains: cooperative control of mobile robotic systems and physical human-robot collaboration. In the realm of multi-robot systems, Sabattini has made foundational contributions to the problem of connectivity maintenance — ensuring that networked robots can reliably communicate during cooperative tasks. His decentralized control strategies, published in 2013, have collectively accumulated over 340 citations, with subsequent work on bounded control laws further cementing his authority in this area. His research on formation control using artificial potential fields and consensus-based algorithms has similarly shaped how researchers approach coordinated robot motion. Equally significant is Sabattini's work on admittance control for human-robot interaction, addressing critical stability challenges when humans and robots share physical workspaces. His 2019 paper on variable admittance strategies (184 citations) and related work on adaptive parameter selection reflect a sustained commitment to making collaborative robotics safer and more intuitive. His involvement in industrial automation is demonstrated through contributions to the PAN-Robots project and cloud robotics architectures for warehouse AGV systems. With over 1,150 citations across his top works, Sabattini represents a leading voice in bringing intelligent, cooperative robotics into real-world industrial environments.

Research Focus

Key Achievements

27
H-Index
118
Papers
2,706
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
A variable admittance control strategy for stable physical human–robot interaction
184 citations · 2019
📈 Most Prolific Year: 2024 (14 Papers)
🤝 Key Collaborators: 123
🏛 Institutions: University of Modena and Reggio Emilia, University of Bologna, Karlsruhe Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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