Transferable and adaptable driving behavior prediction
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 …
driving, humans have long mastered the essence of driving with efficient, transferable, and …
Human motion prediction using adaptable recurrent neural networks and inverse kinematics
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 …
human-robot collaboration (HRC). This letter proposes a novel human motion prediction …
Efficient game-theoretic planning with prediction heuristic for socially-compliant autonomous driving
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
(HRC) due to frequent close interactions between humans and robots. However, human …