| Vehicle sprung mass estimation for rough terrain B Pence, J Hays, HK Fathy, C Sandu, J Stein International Journal of Vehicle Design 61 (1-4), 3-26, 2013 | 25 | 2013 |
| Neuromorphic control of a simulated 7-DOF arm using Loihi T DeWolf, K Patel, P Jaworski, R Leontie, J Hays, C Eliasmith Neuromorphic Computing and Engineering 3 (1), 014007, 2023 | 17 | 2023 |
| Parametric design optimization of uncertain ordinary differential equation systems J Hays, A Sandu, C Sandu, D Hong | 17 | 2012 |
| Motion Planning of Uncertain Under-Actuated Dynamical Systems: A Hybrid Dynamics Formulation J Hays, A Sandu, C Sandu, D Hong ASME International Mechanical Engineering Congress and Exposition 54952, 729-736, 2011 | 12 | 2011 |
| Motion Planning of Uncertain Fully-Actuated Dynamical Systems: A Forward Dynamics Formulation J Hays, A Sandu, C Sandu, D Hong International Design Engineering Technical Conferences and Computers and …, 2011 | 12 | 2011 |
| Spikepropamine: Differentiable plasticity in spiking neural networks S Schmidgall, J Ashkanazy, W Lawson, J Hays Frontiers in neurorobotics 15, 629210, 2021 | 11 | 2021 |
| Motion Planning of Uncertain Fully-Actuated Dynamical Systems: An Inverse Dynamics Formulation J Hays, A Sandu, C Sandu, D Hong International Design Engineering Technical Conferences and Computers and …, 2011 | 10 | 2011 |
| Electrostatic separation of chaff from grain EC Lundahl, B Eliason, J Hays, J Stout, R Wagner, M Wangsgaard, ... US Patent 6,225,587, 2001 | 10 | 2001 |
| Motion planning of uncertain ordinary differential equation systems J Hays, A Sandu, C Sandu, D Hong | 8 | 2011 |
| Meta-SpikePropamine: learning to learn with synaptic plasticity in spiking neural networks S Schmidgall, J Hays Frontiers in neuroscience 17, 1183321, 2023 | 7 | 2023 |
| Stable lifelong learning: Spiking neurons as a solution to instability in plastic neural networks S Schmidgall, J Hays Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022 | 5 | 2022 |
| Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks C Scharzenberger, J Hays arXiv preprint arXiv:2111.09930, 2021 | 5 | 2021 |
| Central pattern generator based omnidirectional locomotion for quadrupedal robotics MJ Kuhlman, J Hays, D Sofge, SK Gupta Naval Research Lab Washington DC Navy Center for Applied Research in …, 2014 | 5 | 2014 |
| Motion planning of uncertain ordinary differential equation systems J Hays, A Sandu, C Sandu, D Hong Journal of Computational and Nonlinear Dynamics 9 (3), 031021, 2014 | 5 | 2014 |
| Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks S Schmidgall, J Hays Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-9, 2023 | 3 | 2023 |
| Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks S Schmidgall, J Hays arXiv preprint arXiv:2206.12520, 2022 | 3 | 2022 |
| Parametric Optimal Design of Uncertain Dynamical Systems JT Hays Virginia Tech, 2011 | 3 | 2011 |
| Neuromorphic computing at scale D Kudithipudi, C Schuman, CM Vineyard, T Pandit, C Merkel, ... Nature 637 (8047), 801-812, 2025 | 2 | 2025 |
| Pneumatic Artificial Muscle Actuators With Integrated Controls for Space Flight Applications CJ Netwall, JP Thomas, MS Kubista, KA Griffith, C Kindle, J Schlater, ... Smart Materials, Adaptive Structures and Intelligent Systems 59131, V001T04A017, 2019 | 2 | 2019 |
| Design Optimization for Minimizing Actuation Energy of a Dynamic Tripedal Walking Robot: Revisiting the Double Pendulum J Hays, D Hong, C Sandu, A Sandu International Design Engineering Technical Conferences and Computers and …, 2010 | 2 | 2010 |
