About

Gianluca Corsini is a leading researcher in the emerging field of physical human-aerial robot interaction (pHARI), where his work is redefining how drones and humans collaborate in close quarters. His primary research areas include nonlinear model predictive control, ergonomics-aware autonomous handover, and visual servoing for fully-actuated aerial manipulators. Corsini’s most impactful contribution is the development of an ergonomics-aware Nonlinear Model Predictive Control (NMPC) for human-robot handovers, demonstrated in the aerial case—a breakthrough that enables drones to safely and intuitively pass objects to human coworkers. This work, cited 14 times, is foundational for co-working drones in industrial and hard-to-reach environments. His 2023 paper on pHARI, with 11 citations, presents the first-of-its-kind experiment using an articulated aerial manipulator, providing critical insights into the dynamics of direct physical collaboration. Corsini also introduced the Flying End-Effector paradigm and a general control architecture that unifies visual servoing and physical interaction tasks. His recent considerations for handover and co-working with drones (2024) further underscore his role in shaping the future of human-drone teamwork, making him a key figure in advancing safe, autonomous aerial assistance.

Research Focus

Key Achievements

4
H-Index
5
Papers
44
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear Model Predictive Control for Human-Robot Handover with Application to the Aerial Case
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Institut National des Sciences Appliquées de Toulouse, Centre National de la Recherche Scientifique, Université Fédérale de Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier

Top Papers

  1. 1
  2. 2
    12 citations
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago