Marco Baglietto

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 20

Top Topics

Partially Observable Domains

Top Venues

Robotics Auton. Syst.

Syst. Control. Lett.

Publications

Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Revisiting the Minimum Constraint Removal Problem in Mobile Robotics. CoRR (2023)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Safe motion planning with environment uncertainty. CoRR (2023)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Exact and Bounded Collision Probability for Motion Planning Under Gaussian Uncertainty. IEEE Robotics Autom. Lett. 7 (1) (2022)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Safe motion planning with environment uncertainty. Robotics Auton. Syst. 156 (2022)
Andrea Delbene, Marco Baglietto, Enrico Simetti
Visual Servoed Autonomous Landing of an UAV on a Catamaran in a Marine Environment. Sensors 22 (9) (2022)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Probabilistic Collision Constraint for Motion Planning in Dynamic Environments. CoRR (2021)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
MPTP: Motion-Planning-aware Task Planning for Navigation in Belief Space. CoRR (2021)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space. CoRR (2021)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
An Integrated Localization, Motion Planning and Obstacle Avoidance Algorithm in Belief Space. Intell. Serv. Robotics 14 (2) (2021)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty. CoRR (2021)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
MPTP: Motion-planning-aware task planning for navigation in belief space. Robotics Auton. Syst. 141 (2021)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Probabilistic Collision Constraint for Motion Planning in Dynamic Environments. IAS (2021)
Muhammad Zeeshan Babar, Marco Baglietto
Optimal feedback input design for dynamic nonlinear systems. Int. J. Control 94 (8) (2021)
Andre Delbene, Cristino de Souza, Pedro Castillo, Boris Vidolov, Marco Baglietto
Trajectory generation and tracking for phugoid maneuvers using a mini-airplane. MED (2020)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space. CoRR (2020)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space. STAIRS@ECAI (2020)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Task-Motion Planning for Navigation in Belief Space. ISRR (2019)
Antony Thomas, Sunny Amatya, Fulvio Mastrogiovanni, Marco Baglietto
Task-assisted Motion Planning in Partially Observable Domains. CoRR (2019)
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Task-Motion Planning for Navigation in Belief Space. CoRR (2019)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Packet Loss Detection in Networked Control Systems via Process Measurements. CDC (2018)
Muhammad Zeeshan Babar, Raza Samar, Aamer Iqbal Bhatti, Marco Baglietto
Robust integrated lateral guidance and control of UAVs. MMAR (2015)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Mode-observability degree in discrete-time switching linear systems. Syst. Control. Lett. 70 (2014)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Discerning controllers for switching linear systems: Existence and genericity. Autom. 50 (9) (2014)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Distinguishability of Discrete-Time Nonlinear Systems. IEEE Trans. Autom. Control. 59 (4) (2014)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Hybrid controllers for mode-observability of switching linear systems: Existence and genericity. ECC (2013)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Projection-based degree of distinguishability in switching linear systems. CDC (2013)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
On discerning controllers for switching linear systems. CDC (2013)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Stabilization and tracking for switching linear systems under unknown switching sequences. Syst. Control. Lett. 62 (1) (2013)
Marco Baglietto, Giorgio Battistelli, Helon Vicente Hultmann Ayala, Pietro Tesi
Mode-observability conditions for linear and nonlinear systems. CDC (2012)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Trade-offs between control and mode-observability properties for switching linear systems. CDC (2012)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
On stabilization and tracking for switching linear systems. ACC (2012)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems. SIAM J. Control. Optim. 50 (3) (2012)
Marco Baglietto, Antonio Sgorbissa, Damiano Verda, Renato Zaccaria
Human navigation and mapping with a 6DOF IMU and a laser scanner. Robotics Auton. Syst. 59 (12) (2011)
Marco Baglietto, Giorgio Battistelli, Pietro Tesi
Set-point tracking in mode-observable switching linear systems. CDC/ECC (2011)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero
Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. IEEE Trans. Neural Networks 22 (5) (2011)
Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 22 (1) (2011)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Victor M. Zavala
Advances in moving horizon estimation for nonlinear systems. CDC (2010)
Serena Ivaldi, Matteo Fumagalli, Francesco Nori, Marco Baglietto, Giorgio Metta, Giulio Sandini
Approximate optimal control for reaching and trajectory planning in a humanoid robot. IROS (2010)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
A maximum-likelihood Kalman filter for switching discrete-time linear systems. Autom. 46 (11) (2010)
Marco Baglietto, Cristiano Cervellera, Marcello Sanguineti, Riccardo Zoppoli
Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling. Comput. Optim. Appl. 47 (2) (2010)
Serena Ivaldi, Marco Baglietto, Franco Davoli, Riccardo Zoppoli
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method. IJCNN (2009)
Marco Baglietto, Marcello Sanguineti, Riccardo Zoppoli
The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems. Optim. Methods Softw. 24 (1) (2009)
Marco Baglietto, Giorgio Cannata, Francesco Capezio, Alberto Grosso, Antonio Sgorbissa
A multi-robot coordination system based on RFID technology. ICAR (2009)
Marco Baglietto, Giorgio Cannata, Francesco Capezio, Antonio Sgorbissa
Multi-Robot Uniform Frequency Coverage of Significant Locations in the Environment. DARS (2008)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Riccardo Zoppoli
Moving-horizon state estimation for nonlinear systems using neural networks. CDC (2008)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Maximum-likelihood Kalman filtering for switching discrete-time linear systems. CDC (2008)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes. Autom. 44 (7) (2008)
Luca Scardovi, Marco Baglietto, Thomas Parisini
Active State Estimation for Nonlinear Systems: A Neural Approximation Approach. IEEE Trans. Neural Networks 18 (4) (2007)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Design of Observers with Commutation-Dependent Gains for Linear Switching Systems. ACC (2007)
Marco Baglietto, Giorgio Battistelli, Luca Scardovi
Active mode observability of switching linear systems. Autom. 43 (8) (2007)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Luenberger observers for switching discrete-time linear systems. Int. J. Control 80 (12) (2007)
Marco Baglietto, Giorgio Battistelli, Luca Scardovi
Active mode observation of switching systems based on a-priori knowledge of the continuous state. CDC (2007)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Design of state estimators for uncertain linear systems using quadratic boundedness. Autom. 42 (3) (2006)
Marco Baglietto, Giorgio Battistelli, Luca Scardovi
Active Mode Identification Of Switching Systems. CDC (2006)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Receding-horizon estimation for switching discrete-time linear systems. IEEE Trans. Autom. Control. 50 (11) (2005)
Marco Baglietto, D. Garassino, Luca Scardovi, L. Zanchi, Riccardo Zoppoli
A Neural Approach to Active Estimation of Nonlinear Systems. CDC/ECC (2005)
Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto, Amir F. Atiya, Kimberly C. Claffy
Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks. IEEE Trans. Neural Networks 16 (5) (2005)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Robust Receding-Horizon Estimation for Discrete-time Linear Systems in the Presence of Bounded Uncertainties. CDC/ECC (2005)
Marco Baglietto, Franco Davoli, Mario Marchese, Maurizio Mongelli
Neural approximation of open-loop feedback rate control in satellite networks. IEEE Trans. Neural Networks 16 (5) (2005)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Luenberger Observers For Switching Discrete-Time Linear Systems. CDC/ECC (2005)
Marco Baglietto, Giorgio Battistelli, Raffaele Bolla, Roberto Bruschi, Franco Davoli, Riccardo Zoppoli
A Neural Network Solution to QoS-IP Team-Optimal Dynamic Routing. CDC/ECC (2005)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Robust receding-horizon state estimation for uncertain discrete-time linear systems. Syst. Control. Lett. 54 (7) (2005)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini
New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems. CDC (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
On estimation error bounds for receding-horizon filters using quadratic boundedness. IEEE Trans. Autom. Control. 49 (8) (2004)
Marco Baglietto, Raffaele Bolla, Roberto Bruschi, Franco Davoli, Riccardo Zoppoli
Neural approximation of team optimal dynamic routing in IP networks. CDC (2004)
Marco Baglietto, Luca Scardovi, Riccardo Zoppoli
Active identification of unknown systems: an information theoretic approach. ACC (2004)
Marco Baglietto, Franco Davoli, Mario Marchese, Maurizio Mongelli
Satellite dynamic bandwidth allocation by neural open loop-feedback control strategies. CDC (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
A minimax receding-horizon estimator for uncertain discrete-time linear systems. ACC (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Receding-horizon estimation for switching discrete-time linear systems. CDC (2004)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Receding-horizon estimation for discrete-time linear systems. IEEE Trans. Autom. Control. 48 (3) (2003)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli
Robust receding-horizon estimation for uncertain discrete-time linear systems. ECC (2003)
Marco Baglietto, Raffaele Bolla, Franco Davoli, Mario Marchese, Maurizio Mongelli
A proposal of new price-based Call Admission Control rules for Guaranteed Performance services multiplexed with Best Effort traffic. Comput. Commun. 26 (13) (2003)
Marco Baglietto, Giorgio Battistelli, Federico Vitali, Riccardo Zoppoli
Shortest path problems on stochastic graphs: a neuro dynamic programming approach. CDC (2003)
Marco Baglietto, Raffaele Bolla, Franco Davoli, Mario Marchese, Maurizio Mongelli
Best-Effort and Guaranteed Performance Services in Telecommunications Networks: Pricing and Call Admission Control Techniques. QoS-IP (2003)
Marco Baglietto, M. Paolucci, Luca Scardovi, Riccardo Zoppoli
Entropy-based environment exploration and stochastic optimal control. CDC (2003)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini
Receding-horizon estimation for noisy nonlinear discrete-time systems. CDC (2003)
Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Thomas Parisini, Riccardo Zoppoli
A receding-horizon estimator for discrete-time linear systems. ECC (2001)
Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
Distributed-information neural control: the case of dynamic routing in traffic networks. IEEE Trans. Neural Networks 12 (3) (2001)
M. Aicardi, Marco Baglietto
Decentralized supervisory control of a set of mobile robots. ECC (2001)
Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
Numerical solutions to the Witsenhausen counterexample by approximating networks. IEEE Trans. Autom. Control. 46 (9) (2001)
Marco Baglietto, Cristiano Cervellera, Thomas Parisini, Marcello Sanguineti, N. Zoppoli
Approximating networks, dynamic programming and stochastic approximation. ACC (2000)
Angelo Alessandri, Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
A neural state estimator with bounded errors for nonlinear systems. IEEE Trans. Autom. Control. 44 (11) (1999)
Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
Neural networks for the solution of information-distributed optimal control problems. ESANN (1998)