Natural language understanding for robotics can require substantial domain-and platform-
specific engineering. For example, for mobile robots to pick-and-place objects in an …

In this work, we present methods for using human-robot dialog to improve language
understanding for a mobile robot agent. The agent parses natural language to underlying …

The proposed work presents a framework based on Graph Neural Networks (GNN) that
abstracts the task to be executed and directly allows the robot to learn task-specific rules …

This letter introduces a dataset for training and evaluating methods for 6D pose estimation of
hand-held tools in task demonstrations captured by a standard RGB camera. Despite the …

A motion imitation and augmentation system comprising an imitation system, a self-collision
avoidance system, and a motion augmented system was proposed in this study. The …

Modelling human-led demonstrations of high-level sequential tasks is fundamental to a
number of practical inference applications including vision-based policy learning and activity …