Robotics is a disruptive technology that will change diagnostics and treatment protocols in
dental medicine. Robots can perform repeated workflows for an indefinite length of time …

Human intention prediction is of great significance in many applications, such as human-
robot interaction, intelligent rehabilitation robots. This paper studies the problem of short …

Human trajectory prediction is typically posed as a zero-shot generalization problem: a
predictor is learnt on a dataset of human motion in training scenes, and then deployed on …

We present EWareNet, a novel intent and affect-aware social robot navigation algorithm
among pedestrians. Our approach predicts the trajectory-based pedestrian intent from gait …

To cope with distribution shifts or non-stationarity in system dynamics, online adaptation
algorithms have been introduced to update offline-learned prediction models in real-time …

Humans with an average level of social cognition can infer the beliefs of others based solely
on the nonverbal communication signals (eg gaze, gesture, pose and contextual …

Human motion prediction is non-trivial in modern industrial settings. Accurate prediction of
human motion can not only improve efficiency in human-robot collaboration, but also …

High fidelity behavior prediction of intelligent agents is critical in many applications, which is
challenging due to the stochasticity, heterogeneity, and time‐varying nature of agent …

High fidelity behavior prediction of intelligent agents is critical in many applications.
However, the prediction model trained on the training set may not generalize to the testing …

Long-term Human-Robot Collaboration (HRC) is crucial for developing flexible
manufacturing systems and for integrating companion robots into daily human environments …