activity
20122022
most citedLearning STRIPS Operators from Noisy and Incomplete Observations

64 citations · 140 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.AI2020★ 1 cited

Investigating Human Response, Behaviour, and Preference in Joint-Task Interaction

Alan Lindsay, Bart Craenen, Sara Dalzel-Job +2

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…

cs.RO2020★ 1 cited

Towards Social HRI for Improving Children's Healthcare Experiences

Mary Ellen Foster, Ronald P. A. Petrick

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…

cs.RO2020★ 2 cited

Affordance-Aware Handovers with Human Arm Mobility Constraints

Paola Ardón, Maria E. Cabrera, Èric Pairet +4

Reasoning about object handover configurations allows an assistive agent to estimate the appropriateness of handover for a receiver with different arm mobility capacities. While th…

cs.LO2020★ 2 cited

Proof-Carrying Plans: a Resource Logic for AI Planning

Alasdair Hill, Ekaterina Komendantskaya, Ronald P. A. Petrick

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, th…

cs.RO2020

Self-Assessment of Grasp Affordance Transfer

Paola Ardón, Èric Pairet, Ronald P. A. Petrick +2

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…

cs.RO2020★ 23 cited

Affordances in Robotic Tasks -- A Survey

Paola Ardón, Èric Pairet, Katrin S. Lohan +2

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…