Transferable and adaptable driving behavior prediction

L Wang, Y Hu, L Sun, W Zhan, M Tomizuka… - arXiv preprint arXiv …, 2022 - arxiv.org
While autonomous vehicles still struggle to solve challenging situations during on-road
driving, humans have long mastered the essence of driving with efficient, transferable, and …

Human motion prediction using adaptable recurrent neural networks and inverse kinematics

R Liu, C Liu - IEEE Control Systems Letters, 2020 - ieeexplore.ieee.org
Human motion prediction, especially arm prediction, is critical to facilitate safe and efficient
human-robot collaboration (HRC). This letter proposes a novel human motion prediction …

Efficient game-theoretic planning with prediction heuristic for socially-compliant autonomous driving

C Li, T Trinh, L Wang, C Liu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Planning under social interactions with other agents is an essential problem for autonomous
driving. As the actions of the autonomous vehicle in the interactions affect and are also …

Hierarchical adaptable and transferable networks (hatn) for driving behavior prediction

L Wang, Y Hu, L Sun, W Zhan, M Tomizuka… - arXiv preprint arXiv …, 2021 - arxiv.org
When autonomous vehicles still struggle to solve challenging situations during on-road
driving, humans have long mastered the essence of driving with efficient transferable and …

Online Model Adaptation with Feedforward Compensation

A Abuduweili, C Liu - Conference on Robot Learning, 2023 - proceedings.mlr.press
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 …

Proactive human-robot co-assembly: Leveraging human intention prediction and robust safe control

R Liu, R Chen, A Abuduweili… - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Human-robot collaboration (HRC) is one key component to achieving flexible manufacturing
to meet the different needs of customers. However, it is difficult to build intelligent robots that …

Online adaptation of neural network models by modified extended kalman filter for customizable and transferable driving behavior prediction

L Wang, Y Hu, C Liu - arXiv preprint arXiv:2112.06129, 2021 - arxiv.org
High fidelity behavior prediction of human drivers is crucial for efficient and safe deployment
of autonomous vehicles, which is challenging due to the stochasticity, heterogeneity, and …

[PDF][PDF] Data-Efficient Behavior Prediction for Safe Human-Robot Collaboration

R Liu - 2021 - ri.cmu.edu
Predicting human behavior is critical to facilitate safe and efficient humanrobot collaboration
(HRC) due to frequent close interactions between humans and robots. However, human …