background

Research

Scientific and Technological Objectives

S&T Aim 1:

Embodied higher-order cognition abilities in robots

S&T Aim 2:

Advanced physical performance via closer mind-body integration

S&T Aim 3:

Real-world adaptive interaction with enhanced self, environment, and social awareness

Proof-of-principle:

prototypes of neuromorphic humanoid robots will be validated in clinical pilot studies of robot-led physical

Results

Dresden wins 2nd prize at the BioCAS 2025 led by the TUD team

Paper: “Event-based Neural Decoding for Neuroprosthetic Motor Control” by Khaleelulla Khan Nazeer, Sirine Arfa, Matthias Jobst, Richard George, Christian Mayr

This paper won second place in the BioCAS 2025 Grand challenge

(http://1.117.17.41/neural-decoding-grand-challenge/).

LinkedIn Post by Sirine Arfa: https://lnkd.in/p/duPVvQrQ

Proceedings: https://doi.org/10.1109/BioCAS67066.2025.00079

 

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