research
∙
12/02/2022
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
ML-based motion planning is a promising approach to produce agents that ...
share
research
∙
10/18/2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
We demonstrate the first large-scale application of model-based generati...
research
∙
09/15/2022
STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead
In this paper, we develop a neural network model to predict future human...
research
∙
09/13/2022
DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network
Human motion prediction is a fundamental part of many human-robot applic...
research
∙
11/05/2020
LBGP: Learning Based Goal Planning for Autonomous Following in Front
This paper investigates a hybrid solution which combines deep reinforcem...
research
∙
09/28/2019
Relational Graph Learning for Crowd Navigation
We present a relational graph learning approach for robotic crowd naviga...
research
∙
03/08/2019
