| Distributed optimal control for multi-agent trajectory optimization G Foderaro, S Ferrari, TA Wettergren Automatica 50 (1), 149-154, 2014 | 88 | 2014 |
| A mobile sensing approach for regional surveillance of fugitive methane emissions in oil and gas production JD Albertson, T Harvey, G Foderaro, P Zhu, X Zhou, S Ferrari, MS Amin, ... Environmental science & technology 50 (5), 2487-2497, 2016 | 81 | 2016 |
| Distributed optimal control of sensor networks for dynamic target tracking G Foderaro, P Zhu, H Wei, TA Wettergren, S Ferrari IEEE Transactions on Control of Network Systems 5 (1), 142-153, 2016 | 53 | 2016 |
| Distributed optimal control of multiscale dynamical systems: a tutorial S Ferrari, G Foderaro, P Zhu, TA Wettergren IEEE Control Systems Magazine 36 (2), 102-116, 2016 | 39 | 2016 |
| A scalable weight-free learning algorithm for regulatory control of cell activity in spiking neuronal networks X Zhang, G Foderaro, C Henriquez, S Ferrari International journal of neural systems 28 (02), 1750015, 2018 | 34 | 2018 |
| A generalized reduced gradient method for the optimal control of very-large-scale robotic systems K Rudd, G Foderaro, P Zhu, S Ferrari IEEE transactions on robotics 33 (5), 1226-1232, 2017 | 33 | 2017 |
| A potential field approach to finding minimum-exposure paths in wireless sensor networks S Ferrari, G Foderaro 2010 IEEE International Conference on Robotics and Automation, 335-341, 2010 | 29 | 2010 |
| A model-based cell decomposition approach to on-line pursuit-evasion path planning and the video game Ms. Pac-Man G Foderaro, A Swingler, S Ferrari 2012 IEEE Conference on Computational Intelligence and Games (CIG), 281-287, 2012 | 23 | 2012 |
| A radial basis function spike model for indirect learning via integrate-and-fire sampling and reconstruction techniques X Zhang, G Foderaro, C Henriquez, AMJ VanDongen, S Ferrari Advances in Artificial Neural Systems 2012, 10-10, 2012 | 20 | 2012 |
| A generalized reduced gradient method for the optimal control of multiscale dynamical systems K Rudd, G Foderaro, S Ferrari 52nd IEEE Conference on Decision and Control, 3857-3863, 2013 | 19 | 2013 |
| Indirect training of a spiking neural network for flight control via spike-timing-dependent synaptic plasticity G Foderaro, C Henriquez, S Ferrari 49th IEEE Conference on Decision and Control (CDC), 911-917, 2010 | 17 | 2010 |
| Necessary conditions for optimality for a distributed optimal control problem G Foderaro, S Ferrari 49th IEEE Conference on Decision and Control (CDC), 4831-4838, 2010 | 16 | 2010 |
| A Model-Based Approach to Optimizing Ms. Pac-Man Game Strategies in Real Time G Foderaro, A Swingler, S Ferrari IEEE Transactions on Computational Intelligence and AI in Games 9 (2), 153-165, 2016 | 12 | 2016 |
| A decentralized kernel density estimation approach to distributed robot path planning G Foderaro, S Ferrari, M Zavlanos Proc. Neural Inf. Process. Syst. Conf., 1-7, 2012 | 7 | 2012 |
| A model-based approximate λ-policy iteration approach to online evasive path planning and the video game Ms. Pac-Man G Foderaro, V Raju, S Ferrari Journal of Control Theory and Applications 9 (3), 391-399, 2011 | 4 | 2011 |
| A probability density function approach to distributed sensors' path planning S Ferrari, G Foderaro, A Tremblay 2010 IEEE International Conference on Robotics and Automation, 432-439, 2010 | 4 | 2010 |
| A distributed optimal control approach for multi-agent trajectory optimization G Foderaro Duke University, 2013 | 2 | 2013 |
| A cell decomposition approach to online evasive path planning and the video game Ms. Pac-Man G Foderaro, V Raju, S Ferrari 2011 IEEE International Symposium on Intelligent Control, 191-197, 2011 | 2 | 2011 |
| System and method of determining an accurate enhanced Lund and Browder chart and total body surface area burn score C Argenta, A Williams, G Foderaro, T Paniagua US Patent 11,931,166, 2024 | 1 | 2024 |
| A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract) T Paniagua, J Lagergren, G Foderaro Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13889 …, 2020 | 1 | 2020 |
