Greg Foderaro

According to our database1, Greg Foderaro authored at least 15 papers between 2010 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

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

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

2013
A Distributed Optimal Control Approach for Multi-agent Trajectory Optimization.
PhD thesis, 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

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

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
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

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


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