We present a cooperative reasoning agent embodied into a mobile robot enabled to explore
its environment by a camera. The robot can infer missing knowledge given an action and an …

While Human Activity Recognition systems may benefit from Active Learning by allowing
users to self-annotate their Activities of Daily Living (ADLs), many proposed methods for …

Social assistive robotics is at the forefront of the effort for ensuring independent living and
inclusion, especially for the elderly and vulnerable members of the population. We consider …

While Human Activity Recognition (HAR) systems may benefit from Active Learning (AL) by
allowing users to self-annotate their Activities of Daily Living (ADLs), many proposed …

In this paper, we present an approach toward grounding linguistic positional and directional
labels directly to human motions in the course of a disoriented balancing task in a multi-axis …

In this paper, we introduce a framework in which computers learn to enact complex temporal-
spatial actions by observing humans, and outline our ongoing experiments in this domain …

As robots become ubiquitous in homes and workplaces such as hospitals and factories, they
must be able to communicate with humans. Several kinds of knowledge are required to …

The development of autonomous agents that can work in tandem with human teammates in
many different kinds of environments will improve the execution of dangerous and dull …