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researcher

Zahra Mahoor

2 papers hereh-index 216 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

most citedMorphology dictates a robot's ability to ground crowd-proposed language

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2017★ 1 cited

Neurally Plausible Model of Robot Reaching Inspired by Infant Motor Babbling

Zahra Mahoor, Bruce MacLennan, Allen McBride

In this paper we present a neurally plausible model of robot reaching inspired by human infant reaching that is based on embodied artificial intelligence, which emphasizes the impo…

cs.AI2017★ 2 cited

Morphology dictates a robot's ability to ground crowd-proposed language

Zahra Mahoor, Jack Felag, Josh Bongard

As more robots act in physical proximity to people, it is essential to ensure they make decisions and execute actions that align with human values. To do so, robots need to underst…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.