ML-based motion planning is a promising approach to produce agents that
...
We demonstrate the first large-scale application of model-based generati...
In this paper, we develop a neural network model to predict future human...
Human motion prediction is a fundamental part of many human-robot
applic...
This paper investigates a hybrid solution which combines deep reinforcem...
We present a relational graph learning approach for robotic crowd naviga...
This paper describes a system whereby a robot detects and track
human-me...