Comparison of LSTM, Transformers, and MLP-mixer neural networks for gaze based human intention prediction.

Collaborative robots have gained popularity in industries, providing flexibility and increased productivity for complex tasks. However, their ability to interact with humans and adapt to their behavior is still limited. Prediction of human movement intentions is one way to improve the robots adaptation.