Robots that use language
This article surveys the use of natural language in robotics from a robotics point of view. To
use human language, robots must map words to aspects of the physical world, mediated by …
use human language, robots must map words to aspects of the physical world, mediated by …
An overview of the distributed integrated cognition affect and reflection diarc architecture
DIARC has been under development for over 15 years. Different from other cognitive
architectures like SOAR or ACT-R, DIARC is an intrinsically component-based distributed …
architectures like SOAR or ACT-R, DIARC is an intrinsically component-based distributed …
Learning to learn: Model regression networks for easy small sample learning
We develop a conceptually simple but powerful approach that can learn novel categories
from few annotated examples. In this approach, the experience with already learned …
from few annotated examples. In this approach, the experience with already learned …
DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive,
mixed-initiative exploration and manipulation of its environment, where the initiative can …
mixed-initiative exploration and manipulation of its environment, where the initiative can …
[PDF][PDF] Spoken instruction-based one-shot object and action learning in a cognitive robotic architecture
Learning new knowledge from single instructions and being able to apply it immediately is a
highly desirable capability for artificial agents. We provide the first demonstration of spoken …
highly desirable capability for artificial agents. We provide the first demonstration of spoken …
Multiperspective teaching of unknown objects via shared-gaze-based multimodal human-robot interaction
For successful deployment of robots in multifaceted situations, an understanding of the robot
for its environment is indispensable. With advancing performance of state-of-the-art object …
for its environment is indispensable. With advancing performance of state-of-the-art object …
Systems and methods enabling online one-shot learning and generalization by intelligent systems of task-relevant features and transfer to a cohort of intelligent …
MJ Scheutz, EA Krause - US Patent 11,645,444, 2023 - Google Patents
2019-09-16 Assigned to NAVY, SECRETARY OF THE UNITED STATES OF AMERICA
reassignment NAVY, SECRETARY OF THE UNITED STATES OF AMERICA …
reassignment NAVY, SECRETARY OF THE UNITED STATES OF AMERICA …
A study measuring the impact of shared decision making in a human-robot team
This paper presents the results of a user study in which the impact of sharing decision
making in a human-robot team was measured. In the experiments outlined here, a human …
making in a human-robot team was measured. In the experiments outlined here, a human …
Max-margin zero-shot learning for multi-class classification
Due to the dramatic expanse of data categories and the lack of labeled instances, zero-shot
learning, which transfers knowledge from observed classes to recognize unseen classes …
learning, which transfers knowledge from observed classes to recognize unseen classes …
Incremental online learning of objects for robots operating in real environments
The ability of an object classifier to adapt to new data and incorporate new classes on the fly
is of paramount importance for robots operating in the real world. This paper presents an …
is of paramount importance for robots operating in the real world. This paper presents an …