Stabilizing task-based omnidirectional quadruped locomotion with Virtual Model Control. - Michael J. Kuhlman; Joe Hays; Donald A. Sofge; Satyandra K. Gupta (ICRA, 2015)

Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks. - Cody Scharzenberger; Joe Hays (CoRR, 2021)

Editorial: Robust Artificial Intelligence for Neurorobotics. - Joe Hays; Subramanian Ramamoorthy; Christian Tetzlaff (Frontiers Neurorobotics, 2021)

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks. - Samuel Schmidgall; Julia Ashkanazy; Wallace Lawson; Joe Hays (Frontiers Neurorobotics, 2021)

Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks. - Samuel Schmidgall; Joe Hays (NICE, 2022)

Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks. - Samuel Schmidgall; Joe Hays (CoRR, 2022)

Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks. - Samuel Schmidgall; Joe Hays (ICONS, 2023)

Collision-Free Inverse Kinematics Through QP Optimization (iKinQP). - Julia Ashkanazy; Ariana Spalter; Joe Hays; Laura Hiatt; Roxana Leontie; C. Glen Henshaw (CoRR, 2023)

Neuromorphic control of a simulated 7-DOF arm using Loihi. - Travis DeWolf; Kinjal Patel; Pawel Jaworski; Roxana Leontie; Joe Hays; Chris Eliasmith (Neuromorph. Comput. Eng., 2023)

Learning to Estimate Regions of Attraction of Autonomous Dynamical Systems Using Bayesian Physics Informed Neural Networks. - Cody Scharzenberger; Shay Snyder; Sumedh R. Risbud; Joe Hays; Maryam Parsa (ICONS, 2024)