Silvia Ferrari

Orcid: 0000-0002-7652-6311

According to our database1, Silvia Ferrari authored at least 96 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT).
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

RealTHASC - a cyber-physical XR testbed for AI-supported real-time human autonomous systems collaborations.
Frontiers Virtual Real., March, 2023

Heuristic Satisficing Inferential Decision Making in Human and Robot Active Perception.
CoRR, 2023

Predicting visually-modulated precisely-timed spikes across a coordinated and comprehensive motor program.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Real-Time Communication Control in Decentralized Autonomous Sensor Networks.
J. Aerosp. Inf. Syst., June, 2022

Directional Sensor Planning for Occlusion Avoidance.
IEEE Trans. Robotics, 2022

A Holistic Approach for Role Inference and Action Anticipation in Human Teams.
ACM Trans. Intell. Syst. Technol., 2022

Fast Foveating Cameras for Dense Adaptive Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints.
Frontiers Robotics AI, 2022

Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition.
CoRR, 2022

Split Happens! Imprecise and Negative Information in Gaussian Mixture Random Finite Set Filtering.
CoRR, 2022

A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems.
IEEE Trans. Control. Netw. Syst., 2021

Guest Editorial Special Issue on Control of Very-Large-Scale Robotic (VLSR) Networks.
IEEE Trans. Control. Netw. Syst., 2021

A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
FoveaCam: A MEMS Mirror-Enabled Foveating Camera.
Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

The Role of Bounded Fields-of-View and Negative Information in Finite Set Statistics (FISST).
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Oriented Pedestrian Social Interaction Modeling and Inference.
Proceedings of the 2020 American Control Conference, 2020

2019
Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets.
IEEE Trans. Autom. Control., 2019

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps.
Sensors, 2019

Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking.
IEEE Trans. Control. Netw. Syst., 2018

A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks.
Int. J. Neural Syst., 2018

Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms.
CoRR, 2018

2017
A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems.
IEEE Trans. Robotics, 2017

A Model-Based Approach to Optimizing Ms. Pac-Man Game Strategies in Real Time.
IEEE Trans. Comput. Intell. AI Games, 2017

Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration.
NeuroImage, 2017

An adaptive spiking neural controller for flapping insect-scale robots.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Deep learning feature extraction for target recognition and classification in underwater sonar images.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A blade element approach to modeling aerodynamic flight of an insect-scale robot.
Proceedings of the 2017 American Control Conference, 2017

2016
Digital implementation of a virtual insect trained by spike-timing dependent plasticity.
Integr., 2016

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.
Autom., 2016

Value function approximation for the control of multiscale dynamical systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Spiking neural network (SNN) control of a flapping insect-scale robot.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
A Geometric Transversals Approach to Sensor Motion Planning for Tracking Maneuvering Targets.
IEEE Trans. Autom. Control., 2015

A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks.
Neurocomputing, 2015

Multi-kernel probability distribution regressions.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
An Information Potential Approach to Integrated Sensor Path Planning and Control.
IEEE Trans. Robotics, 2014

A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations.
IEEE Trans. Neural Networks Learn. Syst., 2014

A Geometric Transversals Approach to Analyzing the Probability of Track Detection for Maneuvering Targets.
IEEE Trans. Computers, 2014

An Information Value Function for Nonparametric Gaussian Processes.
CoRR, 2014

Distributed optimal control for multi-agent trajectory optimization.
Autom., 2014

Optimized visibility motion planning for target tracking and localization.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions.
Proceedings of the American Control Conference, 2014

2013
Intercept tags: enhancing intercept-based systems.
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology, 2013

ML2VR: providing MATLAB users an easy transition to virtual reality and immersive interactivity.
Proceedings of the 2013 IEEE Virtual Reality, 2013

Spike-based indirect training of a spiking neural network-controlled virtual insect.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Modeling of human driver behavior via receding horizon and artificial neural network controllers.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

On the duality of robot and sensor path planning.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A generalized reduced gradient method for the optimal control of multiscale dynamical systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

An approximate dynamic programming approach for model-free control of switched systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
A Comparison of Information Functions and Search Strategies for Sensor Planning in Target Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Emergent bursting and synchrony in computer simulations of neuronal cultures.
Frontiers Comput. Neurosci., 2012

A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques.
Adv. Artif. Neural Syst., 2012

A comparison of information theoretic functions for tracking maneuvering targets.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A model-based cell decomposition approach to on-line pursuit-evasion path planning and the video game Ms. Pac-Man.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

Optimal self-triggering for nonlinear systems via Approximate Dynamic Programming.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
A Disjunctive Programming Approach for Motion Planning of Mobile Router Networks.
Int. J. Robotics Autom., 2011

Cooperative navigation for heterogeneous autonomous vehicles via approximate dynamic programming.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A cell decomposition approach to online evasive path planning and the video game Ms. Pac-Man.
Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011

2010
Probabilistic Track Coverage in Cooperative Sensor Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2010

A probability density function approach to distributed sensors' path planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

A potential field approach to finding minimum-exposure paths in wireless sensor networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

A cell decomposition approach to cooperative path planning and collision avoidance via disjunctive programming.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A randomized hybrid system approach to coordinated robotic sensor planning.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Indirect training of a spiking neural network for flight control via spike-timing-dependent synaptic plasticity.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Necessary conditions for optimality for a distributed optimal control problem.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A geometric transversals approach to analyzing track coverage of omnidirectional sensor networks for maneuvering targets.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Information-Driven Search Strategies in the Board Game of CLUE<sup>®</sup>.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Information-Driven Sensor Path Planning by Approximate Cell Decomposition.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Multiobjective Algebraic Synthesis of Neural Control Systems by Implicit Model Following.
IEEE Trans. Neural Networks, 2009

A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets Using a Mobile Sensor Network.
SIAM J. Control. Optim., 2009

An Information Roadmap Method for Robotic Sensor Path Planning.
J. Intell. Robotic Syst., 2009

A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments.
Proceedings of the International Joint Conference on Neural Networks, 2009

An adaptive artificial potential function approach for geometric sensing.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Adaptive Feedback Control by Constrained Approximate Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Part B, 2008

A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training.
IEEE Trans. Neural Networks, 2008

A Geometric Transversal Approach to Analyzing Track Coverage in Sensor Networks.
IEEE Trans. Computers, 2008

Constructing Bayesian networks for criminal profiling from limited data.
Knowl. Based Syst., 2008

A constrained-optimization approach to training neural networks for smooth function approximation and system identification.
Proceedings of the International Joint Conference on Neural Networks, 2008

Biologically realizable reward-modulated hebbian training for spiking neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

A Q-Learning approach to developing an automated neural computer player for the board game of CLUE<sup>®</sup>.
Proceedings of the International Joint Conference on Neural Networks, 2008

An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets.
Proceedings of the American Control Conference, 2007

Comparison of Information-Theoretic Objective Functions for Decision Support in Sensor Systems.
Proceedings of the American Control Conference, 2007

Optimal Placement of a Moving Sensor Network for Track Coverage.
Proceedings of the American Control Conference, 2007

2006
Track coverage in sensor networks.
Proceedings of the American Control Conference, 2006

On the Development of an Intelligent Computer Player for CLUE: a Case Study on Preposterior Decision Analysis.
Proceedings of the American Control Conference, 2006

2005
Smooth function approximation using neural networks.
IEEE Trans. Neural Networks, 2005

Bayesian Network Modeling of Offender Behavior for Criminal Profiling.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2002
An adaptive critic global controller.
Proceedings of the American Control Conference, 2002

2001
Algebraic training of a neural network.
Proceedings of the American Control Conference, 2001


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