Publications

Refereed journal papers

  1. M. Perani, R. Jandl, S. Baraldo, A. Valente and B. Paoli (2023), Long-short term memory networks for modeling track geometry in laser metal deposition, Frontiers in Artificial Intelligence 6:1156630.
  2. M. Perani, S. Baraldo, M. Decker, A. Vandone, A. Valente and B. Paoli (2022), Track geometry prediction for laser metal deposition based on on-line artificial vision and deep neural networks, Robotics and Computer-Integrated Manufacturing 79, February 2023, 102445.
  3. O. Avram, S. Baraldo and A. Valente (2022), Generalized Behavior Framework for Mobile Robots Teaming With Humans in Harsh Environments, Frontiers in Robotics and AI 9:898366.
  4. D. Knüttel, S. Baraldo, A. Valente, F. Bleicher, K. Wegener and E. Carpanzano (2022), Machine learning based track height prediction for complex tool paths in direct metal deposition, CIRP Annals – Manufacturing Technology 71(1): 193-196.
  5. A. Vandone, S. Baraldo and A. Valente (2018), Multisensor Data Fusion for Additive Manufacturing Process Control, Robotics and Automation Letters 3(4): 3279 – 3284.
  6. A. Valente, S. Baraldo and E. Carpanzano (2017), Smooth trajectory generation for industrial robots performing high precision assembly processes, CIRP Annals – Manufacturing Technology 66(1): 17–20.
  7. A. Giordano, S. Scalvini, A. M. Paganoni, S. Baraldo, M. Frigerio, C. Vittori, G. Borghi, M. Marzegalli and O. Agostoni (2013), Home-based tele surveillance programme in patients with heart failure: effects on clinical status and implications for one-year prognosis. The experience of Lombardy region with “Nuove Reti Sanitarie”, Telemedicine and e-Health 19(8): 605-612.
  8. S. Baraldo, F. Ieva, A. M. Paganoni and V. Vitelli (2012), Outcome prediction for heart failure telemonitoring via generalized linear models with functional covariates, Scandinavian Journal of Statistics 40(3): 403-416.

Refereed conference proceedings

  1. A. Bussolan, S. Baraldo, L. M. Gambardella and A. Valente, Assessing the Impact of Human-Robot Collaboration on Stress Levels and Cognitive Load in Industrial Assembly Tasks, ISR Europe 2023; 56th International Symposium on Robotics, Stuttgart, Germany, 2023, pp. 78-85.
  2. V. Sala, A. Vandone, S. Baraldo, M. Banfi, A. Baj, F. Impaziente, F. Mazzucato and A. Valente, Sensor fusion for stand-off estimation in direct energy deposition, Proc. SPIE 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, 126210B (9 August 2023).
  3. V. Sala, A. Vandone, M. Banfi, S. Baraldo, F. Mazzucato and A. Valente, Online 3D Geometry Reconstruction for Direct Energy Deposition Based on Melt Pool Images, 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, Brescia, 6-8 June 2023.
  4. M. Banfi, S. Baraldo, A. Vandone and A. Valente (2022), Ground Control: an Acquisition and Control System Architecture for LMD, 55th CIRP Conference on Manufacturing Systems (CMS 2022), Lugano, 29 June-1 July, 2022. Published in Procedia CIRP 107: 605-610.
  5. A. Orlandini, S. Baraldo, M. Porta and A. Valente (2022), Ablation threshold estimation for femtosecond pulsed laser machining of AISI 316L, 55th CIRP Conference on Manufacturing Systems (CMS 2022), Lugano, 29 June-1 July, 2022. Published in Procedia CIRP 107: 617-622.
  6. S. Baraldo, A. Roncoroni, F. Palo and A. Valente (2022), Multi-physics based methodology for evaluating powder feeding quality for Laser Metal Deposition, 55th CIRP Conference on Manufacturing Systems (CMS 2022), Lugano, 29 June-1 July, 2022. Published in Procedia CIRP 107: 623-628.
  7. D. Knüttel, S. Baraldo, A. Valente, K. Wegener and E. Carpanzano (2022), Transfer learning of neural network based process models in Direct Metal Deposition, 55th CIRP Conference on Manufacturing Systems (CMS 2022), Lugano, 29 June-1 July, 2022. Published in Procedia CIRP 107: 863-868.
  8. D. Knüttel, S. Baraldo, A. Valente, K. Wegener and E. Carpanzano (2022), Height prediction in Directed Metal Deposition with Artificial Neural Networks, 21st CIRP CONFERENCE ON ELECTRO PHYSICAL AND CHEMICAL MACHINING (ISEM 2022), Zurich, 14-16 June, 2022. To appear on Procedia CIRP.
  9. D. Knüttel, S. Baraldo, A. Valente, K. Wegener and E. Carpanzano (2021), Model based learning for efficient modelling of heat transfer dynamics, 18th CIRP Conference on Modeling of Machining Operations (CMMO 2021). Published in Procedia CIRP, 102: 252-257.
  10. S. Baraldo, A. Vandone, A. Valente and E. Carpanzano (2020), Vision-based control for track geometry optimization of complex AM motion profiles by on-line laser power modulation, 20th CIRP CONFERENCE ON ELECTRO PHYSICAL AND CHEMICAL MACHINING (ISEM 2020), Zurich, 19-21 January, 2021. Published in Procedia CIRP 95: 78-82 .
  11. A. Vandone, S. Baraldo, D. Anastassiou, A. Marchetti and A. Valente (2020), 3D vision system integration on Additive Manufacturing machine for in-line part inspection, 20th CIRP CONFERENCE ON ELECTRO PHYSICAL AND CHEMICAL MACHINING (ISEM 2020), Zurich, 19-21 January, 2021. Published in Procedia CIRP 95: 72-77 .
  12. A. Vandone, S. Baraldo, A. Valente and F. Mazzucato (2019), Vision-based melt pool monitoring system setup for additive manufacturing, 52th CIRP Conference on Manufacturing Systems (CMS 2019), Ljubljana, 12-14 June, 2019. Published in Procedia CIRP 81: 747-752 .
  13. S. Baraldo and A. Valente, Smooth joint motion planning for high precision reconfigurable robot manipulators, 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 29-June 3, 2017.
  14. A. Stamm, B. Scherrer, S. Baraldo, O. Commowick and S. Warfield Non central chi estimation of multi-compartment models improves model selection by reducing overfitting, Joint Annual Meeting ISMRM-ESMRMB 2014, MiCo, Milano, Italy, May 10-16, 2014.
  15. S. Baraldo, Integration of clinical and administrative longitudinal data for the selection of patients in home telemonitoring for heart failure, Joint Meeting of Young Business and Industrial Statisticians and jSPE, Universidade Nova de Lisboa, Lisbon, Portugal, July 23-26, 2012.
  16. S. Baraldo, F. Ieva, L. Mainardi and A. M. Paganoni, Experimental design for the estimation of Rician-distributed intensity fields in MRI, Proceedings of the 46th Scientific Meeting of the Italian Statistical Society 2012, Roma, June 20-22, 2012.
  17. S. Baraldo, F. Ieva, L. Mainardi and A. M. Paganoni, Adaptive design of experiment for the estimation of apparent diffusion coefficients in MRI, Proceedings of the 7th Conference on Statistical Computation and Complex Systems (SCo 2011), Padova, September 19-21, 2011
  18. S. Baraldo, F. Ieva, A. M. Paganoni and V. Vitelli, Generalized functional linear models for hazard functions of stochastic counting processes: an application to heart failure patients, Proceedings of the Applied Stochastic Models and Data Analysis (ASMDA) Conference 2011, Roma, June 7-10, 2011.
  19. S. Baraldo, F. Ieva, A. M. Paganoni and V. Vitelli, Statistical models for hazard functions: a case study of hospitalizations in health failure telemonitoring, Proceedings of the 45th Scientific Meeting of the Italian Statistical Society 2010, Padova, June 16-18, 2010.

Patents

  1. S. Baraldo, A. Valente, M. Catalano and M. Paganoni (2021), “PROCEDIMENTO DI GESTIONE DI PERCORSO DI UTENSILE PER MACCHINE UTENSILI AD ASSI RIDONDANTI, CORRISPONDENTI PRODOTTO INFORMATICO E SISTEMA” (Procedure for managing a tool path for machine tools with redundant axes, corresponding softwareand system), Italian patent IT201800009981A1, filed 2018-10-31.
  2. F. Giacobbe and S. Baraldo (2016), “METHOD AND SYSTEM FOR GROUPING INDIVIDUAL PRODUCTS INTO PRODUCT GROUPS AND FOR FEEDING SAID PRODUCT GROUPS TO HANDLING MEANS, IN PARTICULAR FOR FEEDING THEM TO A PACKAGING MACHINE, FOR EXAMPLE OF THE “FLOW PACK” TYPE OR A CASER PACKER OR THE LIKE“, European patent EP3002222A1, filed 2015-08-05.

Book chapters

  1. S. Baraldo, A. Vandone, A. Valente and E. Carpanzano (2020), Closed-Loop Control by Laser Power Modulation in Direct Energy Deposition Additive Manufacturing. In: Wang L., Majstorovic V., Mourtzis D., Carpanzano E., Moroni G., Galantucci L. (eds) Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham.
  2. S. Baraldo, F. Ieva, L. Mainardi and A. M. Paganoni (2013), Estimation approaches for the Apparent Diffusion Coefficient in Rice-distributed MR signals, in Complex Models and Computational Methods in Statistics, Springer, eds: Grigoletto, Lisi, Petrone.

Technical reports

  1. S. Baraldo, F. Ieva, L. Mainardi and A. M. Paganoni, Estimation approaches for the Apparent Diffusion Coefficient in Rice-distributed MR signals, Quaderno di Dipartimento QDD 121, Dipartimento di Matematica, Politecnico di Milano.
  2. S. Baraldo, F. Ieva, A. M. Paganoni and V. Vitelli, Generalized functional linear models for recurrent events: an application to re-admission processes in heart failure patients, MOX Report 42/2010.