Marco Baglietto

Orcid: 0000-0001-8142-3379

According to our database1, Marco Baglietto authored at least 75 papers between 1998 and 2023.

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Bibliography

2023
Revisiting the Minimum Constraint Removal Problem in Mobile Robotics.
CoRR, 2023

2022
Visual Servoed Autonomous Landing of an UAV on a Catamaran in a Marine Environment.
Sensors, 2022

Safe motion planning with environment uncertainty.
Robotics Auton. Syst., 2022

Exact and Bounded Collision Probability for Motion Planning Under Gaussian Uncertainty.
IEEE Robotics Autom. Lett., 2022

2021
MPTP: Motion-planning-aware task planning for navigation in belief space.
Robotics Auton. Syst., 2021

An Integrated Localization, Motion Planning and Obstacle Avoidance Algorithm in Belief Space.
Intell. Serv. Robotics, 2021

Optimal feedback input design for dynamic nonlinear systems.
Int. J. Control, 2021

An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space.
CoRR, 2021

Probabilistic Collision Constraint for Motion Planning in Dynamic Environments.
Proceedings of the Intelligent Autonomous Systems 16, 2021

2020
Trajectory generation and tracking for phugoid maneuvers using a mini-airplane.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020

Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space.
Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
Task-assisted Motion Planning in Partially Observable Domains.
CoRR, 2019

Task-Motion Planning for Navigation in Belief Space.
Proceedings of the Robotics Research, 2019

2018
Packet Loss Detection in Networked Control Systems via Process Measurements.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2015
Robust integrated lateral guidance and control of UAVs.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

2014
Distinguishability of Discrete-Time Nonlinear Systems.
IEEE Trans. Autom. Control., 2014

Mode-observability degree in discrete-time switching linear systems.
Syst. Control. Lett., 2014

Discerning controllers for switching linear systems: Existence and genericity.
Autom., 2014

2013
Stabilization and tracking for switching linear systems under unknown switching sequences.
Syst. Control. Lett., 2013

Hybrid controllers for mode-observability of switching linear systems: Existence and genericity.
Proceedings of the 12th European Control Conference, 2013

On discerning controllers for switching linear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Projection-based degree of distinguishability in switching linear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Min-Max Moving-Horizon Estimation for Uncertain Discrete-Time Linear Systems.
SIAM J. Control. Optim., 2012

Trade-offs between control and mode-observability properties for switching linear systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Mode-observability conditions for linear and nonlinear systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

On stabilization and tracking for switching linear systems.
Proceedings of the American Control Conference, 2012

2011
Editorial: One Year as EiC, and Editorial-Board Changes at TNN.
IEEE Trans. Neural Networks, 2011

Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks.
IEEE Trans. Neural Networks, 2011

Human navigation and mapping with a 6DOF IMU and a laser scanner.
Robotics Auton. Syst., 2011

Set-point tracking in mode-observable switching linear systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling.
Comput. Optim. Appl., 2010

A maximum-likelihood Kalman filter for switching discrete-time linear systems.
Autom., 2010

Approximate optimal control for reaching and trajectory planning in a humanoid robot.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Advances in moving horizon estimation for nonlinear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems.
Optim. Methods Softw., 2009

Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method.
Proceedings of the International Joint Conference on Neural Networks, 2009

A multi-robot coordination system based on RFID technology.
Proceedings of the 14th International Conference on Advanced Robotics, 2009

2008
Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes.
Autom., 2008

Multi-Robot Uniform Frequency Coverage of Significant Locations in the Environment.
Proceedings of the Distributed Autonomous Robotic Systems 8, 2008

Moving-horizon state estimation for nonlinear systems using neural networks.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Maximum-likelihood Kalman filtering for switching discrete-time linear systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Active State Estimation for Nonlinear Systems: A Neural Approximation Approach.
IEEE Trans. Neural Networks, 2007

Luenberger observers for switching discrete-time linear systems.
Int. J. Control, 2007

Active mode observability of switching linear systems.
Autom., 2007

Active mode observation of switching systems based on a-priori knowledge of the continuous state.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Design of Observers with Commutation-Dependent Gains for Linear Switching Systems.
Proceedings of the American Control Conference, 2007

2006
Design of state estimators for uncertain linear systems using quadratic boundedness.
Autom., 2006

Active Mode Identification Of Switching Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks.
IEEE Trans. Neural Networks, 2005

Neural approximation of open-loop feedback rate control in satellite networks.
IEEE Trans. Neural Networks, 2005

Receding-horizon estimation for switching discrete-time linear systems.
IEEE Trans. Autom. Control., 2005

Robust receding-horizon state estimation for uncertain discrete-time linear systems.
Syst. Control. Lett., 2005

A Neural Approach to Active Estimation of Nonlinear Systems.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

A Neural Network Solution to QoS-IP Team-Optimal Dynamic Routing.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Robust Receding-Horizon Estimation for Discrete-time Linear Systems in the Presence of Bounded Uncertainties.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
On estimation error bounds for receding-horizon filters using quadratic boundedness.
IEEE Trans. Autom. Control., 2004

Satellite dynamic bandwidth allocation by neural open loop-feedback control strategies.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Neural approximation of team optimal dynamic routing in IP networks.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Active identification of unknown systems: an information theoretic approach.
Proceedings of the 2004 American Control Conference, 2004

A minimax receding-horizon estimator for uncertain discrete-time linear systems.
Proceedings of the 2004 American Control Conference, 2004

2003
Receding-horizon estimation for discrete-time linear systems.
IEEE Trans. Autom. Control., 2003

A proposal of new price-based Call Admission Control rules for Guaranteed Performance services multiplexed with Best Effort traffic.
Comput. Commun., 2003

Best-Effort and Guaranteed Performance Services in Telecommunications Networks: Pricing and Call Admission Control Techniques.
Proceedings of the Quality of Service in Multiservice IP Networks, 2003

Robust receding-horizon estimation for uncertain discrete-time linear systems.
Proceedings of the 7th European Control Conference, 2003

Entropy-based environment exploration and stochastic optimal control.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Shortest path problems on stochastic graphs: a neuro dynamic programming approach.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Receding-horizon estimation for noisy nonlinear discrete-time systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2001
Distributed-information neural control: the case of dynamic routing in traffic networks.
IEEE Trans. Neural Networks, 2001

Numerical solutions to the Witsenhausen counterexample by approximating networks.
IEEE Trans. Autom. Control., 2001

A receding-horizon estimator for discrete-time linear systems.
Proceedings of the 6th European Control Conference, 2001

Decentralized supervisory control of a set of mobile robots.
Proceedings of the 6th European Control Conference, 2001

2000
Approximating networks, dynamic programming and stochastic approximation.
Proceedings of the American Control Conference, 2000

1999
A neural state estimator with bounded errors for nonlinear systems.
IEEE Trans. Autom. Control., 1999

1998
Neural networks for the solution of information-distributed optimal control problems.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998


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