Category: publication

Marie D. Schmidt; Tobias Glasmachers; Ioannis Iossifidis Understanding how movement relates to muscle activation is a core problem in motor control and a practical challenge for rehabilitation technology. In this article, we train a Long Short-Term Memory (LSTM) model on upper-limb end-effector kinematics to predict activity across eight muscles. The model predicts muscle activity accurately … Read More “New journal article: Predicting Muscle Activity from Upper Limb Kinematics with LSTM Networks” »

Marie Dominique Schmidt; Ioannis Iossifidis Decoding motor intention early and reliably is central to responsive assistive devices and adaptive rehabilitation. In this study, we investigate how precisely movement direction and target location can be inferred from multichannel EMG signals, and how early this information becomes available relative to movement onset. We present a pipeline combining … Read More “New preprint: The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction” »

Felix Grün; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis Distributional reinforcement learning has delivered strong results in discrete-action benchmarks, largely driven by different ways of representing value distributions (e.g., via quantiles) and comparing them during training. In this work, we bring three prominent distributional methods—QR-DQN, IQN, and FQF—into the continuous action domain by integrating distributional critics … Read More “New paper: Invariance to Quantile Selection in Distributional Continuous Control” »