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Cerebellar transcranial current stimulation – An intraindividual comparison of different techniques
Transcranial current stimulation (tCS) techniques have been shown to induce cortical plasticity. As an important relay in the motor system, the cerebellum is an interesting target for plasticity induction using tCS …
Rebecca Herzog
,
Till M Berger
,
Martje G Pauly
,
Honghu Xue
,
Elmar Rueckert
,
Alexander Münchau
,
Tobias Bäumer
,
Anne Weissbach
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DOI
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
We propose a deep reinforcement learning approach for solving a mapless navigation problem in warehouse scenarios. In our approach, an automatic guided vehicle is equipped with two LiDAR sensors and one frontal RGB camera and learns to perform a targeted navigation task …
Honghu Xue
,
Benedikt Hein
,
Mohamed Bakr
,
Georg Schildbach
,
Bengt Abel
,
Elmar Rueckert
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DOI
Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation
In medical tasks such as human motion analysis, computer-aided auxiliary systems have become the preferred choice for human experts for their high efficiency. However, conventional approaches are typically based on user-defined features such as movement onset times, peak velocities, motion vectors, or frequency domain analyses …
Honghu Xue
,
Rebecca Herzog
,
Till M Berger
,
Tobias Bäumer
,
Anne Weissbach
,
Elmar Rueckert
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DOI
Interactive Human–Robot Skill Transfer: A Review of Learning Methods and User Experience
Generalizing the operation of robots in dynamical environments regardless of the task complexity is one of the ultimate goals of robotics researchers. Learning from demonstration approaches supported by transfer learning and user feedback offer a remarkable solution to achieve generalization …
Mehmet Ege Cansev
,
Honghu Xue
,
Nils Rottmann
,
Adna Bliek
,
Luke E Miller
,
Elmar Rueckert
,
Philipp Beckerle
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