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pro vyhledávání: '"Petrick, Ronald"'
We present an ongoing project that aims to develop a social robot to help children cope with painful and distressing medical procedures in a clinical setting. Our approach uses automated planning as a core component for action selection in order to g
Externí odkaz:
http://arxiv.org/abs/2210.09753
Publikováno v:
EPTCS 362, 2022, pp. 37-53
In real-world applications, the ability to reason about incomplete knowledge, sensing, temporal notions, and numeric constraints is vital. While several AI planners are capable of dealing with some of these requirements, they are mostly limited to pr
Externí odkaz:
http://arxiv.org/abs/2207.09709
Verification of AI is a challenge that has engineering, algorithmic and programming language components. For example, AI planners are deployed to model actions of autonomous agents. They comprise a number of searching algorithms that, given a set of
Externí odkaz:
http://arxiv.org/abs/2105.11267
Autor:
Ardón, Paola, Pairet, Èric, Lohan, Katrin S., Ramamoorthy, Subramanian, Petrick, Ronald P. A.
Affordances describe the possibilities for an agent to perform actions with an object. While the significance of the affordance concept has been previously studied from varied perspectives, such as psychology and cognitive science, these approaches a
Externí odkaz:
http://arxiv.org/abs/2105.06706
Human interaction relies on a wide range of signals, including non-verbal cues. In order to develop effective Explainable Planning (XAIP) agents it is important that we understand the range and utility of these communication channels. Our starting po
Externí odkaz:
http://arxiv.org/abs/2011.14016
Autor:
Ardón, Paola, Cabrera, Maria E., Pairet, Èric, Petrick, Ronald P. A., Ramamoorthy, Subramanian, Lohan, Katrin S., Cakmak, Maya
Reasoning about object handover configurations allows an assistive agent to estimate the appropriateness of handover for a receiver with different arm mobility capacities. While there are existing approaches for estimating the effectiveness of handov
Externí odkaz:
http://arxiv.org/abs/2010.15436
This paper describes a new research project that aims to develop a social robot designed to help children cope with painful and distressing medical procedures in a clinical setting. While robots have previously been trialled for this task, with promi
Externí odkaz:
http://arxiv.org/abs/2010.04652
Recent trends in AI verification and Explainable AI have raised the question of whether AI planning techniques can be verified. In this paper, we present a novel resource logic, the Proof Carrying Plans (PCP) logic that can be used to verify plans pr
Externí odkaz:
http://arxiv.org/abs/2008.04165
Autor:
Ardón, Paola, Pairet, Èric, Petrick, Ronald P. A., Ramamoorthy, Subramanian, Lohan, Katrin S.
Reasoning about object grasp affordances allows an autonomous agent to estimate the most suitable grasp to execute a task. While current approaches for estimating grasp affordances are effective, their prediction is driven by hypotheses on visual fea
Externí odkaz:
http://arxiv.org/abs/2007.02132
Autor:
Ardón, Paola, Pairet, Èric, Lohan, Katrin S., Ramamoorthy, Subramanian, Petrick, Ronald P. A.
Affordances are key attributes of what must be perceived by an autonomous robotic agent in order to effectively interact with novel objects. Historically, the concept derives from the literature in psychology and cognitive science, where affordances
Externí odkaz:
http://arxiv.org/abs/2004.07400