Robotics applied in precision farming, allowing ground and aerial platforms to automate the work on the field. I am also one of the principal investigators in the Flourish Project.
Vision-based navigation for Unmanned Aerial Vehicles (UAVs). In other words, allowing aerial vehicles to fly the environment without loosing the line of sight with some targets of interest.
- "Non-Linear Model Predictive Control with Adaptive Time-Mesh Refinement" C. Potena, B. Della Corte, D. Nardi, G, Grisetti and A. Pretto. IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Brisbane, 2018 Best Student Paper Award Finalist. (code, pdf, bibtex)
- "An Effective Multi-Cue Positioning System for Agricultural Robotics", M. Imperoli, C. Potena, D. Nardi, G. Grisetti and A. Pretto. In: IEEE Robotics and Automation Letters, Vol: 3, Issue: 4, October 2018, pages 3685-3692. (pdf, video, bibtex)
- "Effective Target Aware Visual Navigation for UAVs" C. Potena, D. Nardi and A. Pretto. The European Conference on Mobile Robotics (ECMR), Paris, 2017. (pdf, bibtex)
- "Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection" M. Di Cicco, C. Potena, G. Grisetti, A.Pretto. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, 2017. (pdf, video, bibtex)
Department of Computer, Control, and Management Engineering (DIAG) "Antonio Ruberti" at Sapienza University of Rome.
Via Ariosto, 25. 00185 Rome, Italy.
Contact me at: potena[at]diag[dot]uniroma1[dot]it