In this section are listed all my publications in international journals and conferences (as proceedings).
(J10) G. Turrisi, M. Capotondi, C. Gaz, V. Modugno, G. Oriolo, A. De Luca. On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics. IEEE Robotics and Automation Letters, 2021.
(J9) M. Ferro, C. Gaz, M. Anzidei, M. Vendittelli. Online needle-tissue interaction model identification for force feedback enhancement in robot-assisted interventional procedures. IEEE Transactions on Medical Robotics and Bionics, 2021.
(J8) C. Gaz, M. Cognetti, A. Oliva, P. Robuffo Giordano, A. De Luca. Dynamic Identification of the Franka Emika Panda Robot with Retrieval of Feasible Parameters Using Penalty-based Optimization. IEEE Robotics and Automation Letters, 2019.
(J7) A. De Gaetano, C. Gaz, S. Panunzi. Consistency of compact and extended models of glucose-insulin homeostasis: The role of variable pancreatic reserve. PLoS ONE, 2019.
(J6) C. Gaz, E. Magrini, A. De Luca. A model-based residual approach for human-robot collaboration during manual polishing operations. Mechatronics, 2018.
(J5) C. Gaz, A. De Gaetano, C. Manes, P. Palumbo, A. Borri, S. Panunzi. Effective Control of Glycemia using a Simple Discrete-delay Model. IFAC-PapersOnLine, 2017.
(J4) A. Borri, S. Panunzi, R. Brancaleoni, D. Gui, S. Magalini, C. Gaz, A. De Gaetano. Simulation of Trauma Incidents: Modelling the Evolution of Patients and Resources. Journal of Medical Systems, 2016.
(J3) A. De Gaetano, C. Gaz, P. Palumbo, S. Panunzi. A unifying organ model of pancreatic insulin secretion. PLoS ONE, 2015.
(J2) A. Pennisi, D. Bloisi, C. Gaz, L. Iocchi and D. Nardi. Novel patterns and methods for zooming camera calibration. Journal of WSCG, 2013.
(J1) C. Gaz, G. Cremona, S. Panunzi, B. Patterson and A. De Gaetano. A geometrical approach to the PKPD modelling of inhaled bronchodilators . Journal of Pharmacokinetics and Pharmacodynamics, 2012.
(C10) M. Pennese, C. Gaz, M. Capotondi, V. Modugno, A. De Luca. Identification of Robot Dynamics from Motor Currents/Torques with Unknown Signs. In 2021 Proc. Italian Conference on Robotics and Intelligent Machines (I-RIM), Rome, Italy. 2021. Winner of the Best Student Paper Award
(C9) C. Gaz, A. Cristofaro, A. De Luca. Detection and isolation of actuator faults and collisions for a flexible robot arm. In Proc. 2020 59th IEEE Conference on Decision and Control (CDC 2020), Jeju Island, Rep. of Korea. 2020.
(C8) M. Capotondi, G. Turrisi, C. Gaz, V. Modugno, G. Oriolo, A. De Luca. Learning Feedback Linearization Control Without Torque Measurements. In 2020 Proc. Italian Conference on Robotics and Intelligent Machines (I-RIM), Rome, Italy. 2020.
(C7) M. Capotondi, G. Turrisi, C. Gaz, V. Modugno, G. Oriolo, A. De Luca. An Online Learning Procedure for Feedback Linearization Control without Torque Measurements. In 2019 Proc. International Conference on Robot Learning (CoRL19), Osaka, Japan. 2019.
(C6) N. Cacciotti, A. Cifonelli, C. Gaz, V. Paduano, AV. Russo, M. Vendittelli. Enhancing force feedback in teleoperated needle insertion through on-line identification of the needle-tissue interaction parameters. In 2018 IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob2018), Enschede, The Netherlands. 2018.
(C5) C. Gaz and A. De Luca. Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection. In 2016 IEEE Int. Conf. on Intelligent Robots and Systems (IROS17), Vancouver, BC. 2017.
(C4) C. Gaz, F. Flacco and A. De Luca. Extracting feasible robot parameters from dynamic coefficients using nonlinear optimization methods. In 2016 IEEE Int. Conf. on Robotics and Automation (ICRA16), Stockholm, Sweden. 2014.
(C3) C. Gaz, F. Flacco and A. De Luca. Identifying the Dynamic Model Used by the KUKA LWR: A Reverse Engineering Approach. In 2014 IEEE Int. Conf. on Robotics and Automation (ICRA14), Hong Kong, PRC, May-Jun. 2014.
(C2) A. De Gaetano, C. Gaz, C. Gori Giorgi, P. Palumbo. An islet population model of pancreatic insulin production. In 2013 IEEE Conference on Decision and Control (CDC13), Florence, Italy, Dec. 2013.
(C1) V. Manzella, C. Gaz, A. Vitaletti, E. Masi, L. Santopolo, S. Mancuso, D. Salazar, J.J. De Las Heras Plants as Sensing Devices: The PLEASED experience. In 2013 Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys 2013). 2013.
(B1) A. De Gaetano, S. Panunzi, P. Palumbo, C. Gaz and T. Hardy. Data-driven modeling of diabetes progression. In V. Marmarelis, G. Mitsis (Editors), Data-driven Modeling for Diabetes, Springer, Berlin, Lecture Notes in Bioengineering. pp. 165-186, 2014.