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Alma universitas studiorum parmensis A.D. 962 - Università di Parma Alma universitas studiorum parmensis A.D. 962 - Università di Parma
Department of
Engineering and Architecture
Università degli Studi di Parma

Robotics and Intelligent Machines Laboratory (RIMLab)

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RIMLab is one of the research groups and labs hosted by the Department of Engineering and Architecture (DIA). Established in 1990, RIMLab pursues research and technology transfer in fields such as autonomous robotic systems, human-machine interfaces, virtual and augmented reality, robot learning, robot perception, 3D data processing, object recognition, robot manipulation, robot navigation and planning. RIMLab has been part of several European networks of excellence related to robotics. RIMLab has ongoing collaborations with local automation companies which are active in the packaging, filling, handling, palletization, LGV navigation and automated warehouse sectors. The equipment of the laboratory includes industrial and collaborative robot manipulators, wheeled mobile robots, a small-sized humanoid robot, a room-scale motion capture system, and several devices for virtual reality and 2D/3D perception.

Contact person: Dario Lodi Rizzini – dario.lodirizzini@unipr.it

Recent Research Projects

  • COllaborazione tra Operatori e Robot manipolatori mobili Sicuri per la fAbbrica del futuro (COORSA) Emilia Romagna Regional Operational Programme (POR-FESR 2014-2020)
    http://www.coorsa.it/
  • POSITIVE Emilia Romagna Regional Operational Programme (POR-FESR 2014-2020)
    http://www.progettopositive.it/
  • AgroAlimentare IdroIntelligente (ALADIN) Emilia Romagna Regional Operational Programme (POR-FESR 2014-2020)
    http://www.progettoaladin.it/
  • Haptic teleoperation of UAV equipped with gamma-ray spectrometer for detection and identification of radio-active materials in industrial plants (X-Drone)
    CNR Progetto Bandiera "La Fabbrica del Futuro", Piattaforma Manifatturiera Nazionale
    http://rimlab.ce.unipr.it/XDrone.html

Selected publications

  1. R. Monica and J. Aleotti, A Probabilistic Next Best View Planner for Depth Cameras Based on Deep Learning, IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 3529-3536, April 2021
  2. R. Monica, J. Aleotti, Surfel-Based Incremental Reconstruction of the Boundary between Known and Unknown Space, IEEE Transactions on Visualization and Computer Graphics, Volume 26, Issue 8, August 2020
  3. R. Monica, J. Aleotti, Point Cloud Projective Analysis for Part-Based Grasp Planning, IEEE Robotics and Automation Letters, Volume 5, Issue 3, July 2020
  4. R. Monica, J. Aleotti, D. Piccinini, Humanoid Robot Next Best View Planning under Occlusions Using Body Movement Primitives, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 4-8, 2019, Macau, China
  5. M. Giorgini, S. Marini, R. Monica, J. Aleotti, Sensor-Based Optimization of Terrestrial Laser Scanning Measurement Setup on GPU, IEEE Geoscience and Remote Sensing Letters, Volume 16, Issue 9, 2019
  6. F. Galasso, D. Lodi Rizzini, F. Oleari, S. Caselli, Efficient Calibration of Four Wheel Industrial AGVs. Robotics and Computer-Integrated Manufacturing (RCIM), Volume 57, June 2019, Pages 116-128
  7. D. Lodi Rizzini, F. Galasso and S. Caselli, "Geometric Relation Distribution for Place Recognition," in IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 523-529, April 2019
  8. M. Giorgini, J. Aleotti, R. Monica, Floorplan Generation of Indoor Environments From Large-Scale Terrestrial Laser Scanner Data, IEEE Geoscience and Remote Sensing Letters, Volume 16, Issue 5, 2019
  9. D. Lodi Rizzini, Angular Radon Spectrum for Rotation Estimation. Pattern Recognition, Volume 84, Dec. 2018, Pages 182-196
  10. E. Simetti, F. Wanderlingh, S. Torelli, M. Bibuli, A. Odetti, G. Bruzzone, D. Lodi Rizzini, J. Aleotti, G. Palli, L. Moriello, and U. Scarcia Autonomous Underwater Intervention: Experimental Results of the MARIS Project. IEEE Journal of Oceanic Engineering, Volume 43, Issue 3, July 2018
  11. R. Monica, J. Aleotti, Surfel-based Next Best View Planning, IEEE Robotics and Automation Letters, Volume 3, Issue 4, Oct. 2018
  12. R. Monica, J. Aleotti, Contour-based next-best view planning from point cloud segmentation of unknown objects, Autonomous Robots, February 2018, Volume 42, Issue 2, pp 443-458
  13. M. Giorgini, F. Barbieri, J. Aleotti, Ground Segmentation From Large-Scale Terrestrial Laser Scanner Data of Industrial Environments, IEEE Robotics and Automation Letters, vol. 2, no. 4, October 2017
  14. F. Kallasi, D. Lodi Rizzini, F. Oleari, M. Magnani and S. Caselli. A Novel Calibration Method for Industrial AGVs. Robotics and Autonomous Systems, Volume 94, Aug. 2017, Pages 75-88
  15. D. Lodi Rizzini, F. Kallasi, J. Aleotti, F. Oleari and S. Caselli. Integration of a stereo vision system into an autonomous underwater vehicle for pipe manipulation tasks. Computers & Electrical Engineering, Volume 58, February 2017
  16. R. Monica, J. Aleotti, S. Caselli, A KinFu based approach for robot spatial attention and view planning, Robotics and Autonomous Systems, Volume 75, Part B, January 2016, Pages 627-640
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