FINITE STATE MACHINE-BASED MOTION-FREE LEARNING OF BIPED WALKING

Finite State Machine-Based Motion-Free Learning of Biped Walking

Recently, deep reinforcement learning (DRL) is commonly used to create controllers for physically simulated characters.Among DRL-based approaches, Carving Boards imitation learning for character control using motion capture clips as tracking references has shown successful results in controlling various motor skills with natural movement.However, t

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Case Report of Dual-Site Neurostimulation and Chronic Recording of Cortico-Striatal Circuitry in a Patient With Treatment Refractory Obsessive Compulsive Disorder

Psychiatric disorders are increasingly understood as dysfunctions of hyper- or hypoconnectivity in distributed brain circuits.A prototypical example is obsessive compulsive disorder (OCD), which has been repeatedly linked to hyper-connectivity of cortico-striatal-thalamo-cortical (CSTC) loops.Deep brain stimulation (DBS) and lesions of CSTC structu

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Evaluation of Calf Muscular Function During the Recovery Phase After the Repair of an Achilles Tendon Rupture

Background: During the recovery phase after the Top Hat repair of an Achilles tendon rupture, measuring calf muscular function is important for predicting prognosis.Tensiomyography (TMG) is a selective and non-invasive diagnostic method for skeletal muscular contractile properties based on the displacement of the muscle belly.Case Presentation: Ten

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