Neuromechanics-based Deep Reinforcement Learning of Neurostimulation Control in FES cycling. - Nat Wannawas; Mahendran Subramanian; A. Aldo Faisal (NER, 2021)

I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation. - Nat Wannawas; Ali Shafti; A. Aldo Faisal (CoRR, 2021)

Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES. - Nat Wannawas; Ali Shafti; A. Aldo Faisal (CoRR, 2022)

Towards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning. - Nat Wannawas; A. Aldo Faisal (ICORR, 2023)

Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching. - Nat Wannawas; A. Aldo Faisal (NER, 2023)

Towards AI-Controlled FES-Restoration of Arm Movements: Controlling for Progressive Muscular Fatigue with Gaussian State-Space Models. - Nat Wannawas; A. Aldo Faisal (NER, 2023)

Towards AI-controlled FES-restoration of movements: Learning cycling stimulation pattern with reinforcement learning. - Nat Wannawas; A. Aldo Faisal (CoRR, 2023)

Physics-informed reinforcement learning via probabilistic co-adjustment functions. - Nat Wannawas; A. Aldo Faisal (CoRR, 2023)

Accessible FES Cycling: Leveraging Cost-Effective Crank Angle Measurement and Reinforcement Learning for Stimulation Optimization. - Nat Wannawas; Clara Diaz-Pintado; Jyotindra Narayan; A. Aldo Faisal (BioRob, 2024)

Controlling FES of arm movements using physics-informed reinforcement learning via co-kriging adjustment. - Nat Wannawas; Clara Diaz-Pintado; Jyotindra Narayan; A. Aldo Faisal (ICRA, 2024)