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A review and comparison of ontology-based approaches to robot autonomy
Within the next decades, robots will need to be able to execute a large variety of tasks
autonomously in a large variety of environments. To relax the resulting programming effort, a …
autonomously in a large variety of environments. To relax the resulting programming effort, a …
[หนังสือ][B] Human-robot interaction: An introduction
The role of robots in society keeps expanding and diversifying, bringing with it a host of
issues surrounding the relationship between robots and humans. This introduction to human …
issues surrounding the relationship between robots and humans. This introduction to human …
[HTML][HTML] Artificial cognition for social human–robot interaction: An implementation
Abstract Human–Robot Interaction challenges Artificial Intelligence in many regards:
dynamic, partially unknown environments that were not originally designed for robots; a …
dynamic, partially unknown environments that were not originally designed for robots; a …
KnowRob: A knowledge processing infrastructure for cognition-enabled robots
Autonomous service robots will have to understand vaguely described tasks, such as “set
the table” or “clean up”. Performing such tasks as intended requires robots to fully, precisely …
the table” or “clean up”. Performing such tasks as intended requires robots to fully, precisely …
Cognitive human–robot interaction
A key research challenge in robotics is to design robotic systems with the cognitive
capabilities necessary to support human–robot interaction. These systems will need to have …
capabilities necessary to support human–robot interaction. These systems will need to have …
An implemented theory of mind to improve human-robot shared plans execution
When a robot has to execute a shared plan with a human, a number of unexpected
situations and contingencies can happen due, essentially, to human initiative. For instance …
situations and contingencies can happen due, essentially, to human initiative. For instance …
Tell me dave: Context-sensitive grounding of natural language to manipulation instructions
It is important for a robot to be able to interpret natural language commands given by a
human. In this paper, we consider performing a sequence of mobile manipulation tasks with …
human. In this paper, we consider performing a sequence of mobile manipulation tasks with …
Computational human-robot interaction
We present a systematic survey of computational research in humanrobot interaction (HRI)
over the past decade. Computational HRI is the subset of the field that is specifically …
over the past decade. Computational HRI is the subset of the field that is specifically …
Improved human-robot team performance using chaski, a human-inspired plan execution system
We describe the design and evaluation of Chaski, a robot plan execution system that uses
insights from human-human teaming to make human-robot teaming more natural and fluid …
insights from human-human teaming to make human-robot teaming more natural and fluid …
ORO, a knowledge management platform for cognitive architectures in robotics
This paper presents an embeddable knowledge processing framework, along with a
common-sense ontology, designed for robotics. We believe that a direct and explicit …
common-sense ontology, designed for robotics. We believe that a direct and explicit …