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20162022
most citedRearrangement: A Challenge for Embodied AI

101 citations · 252 across the 19 of their papers we have counts for

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7 papers · 1 filter

cs.AI20222 cited

Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot Actions

Angel Daruna, Devleena Das, Sonia Chernova

Learned knowledge graph representations supporting robots contain a wealth of domain knowledge that drives robot behavior. However, there does not exist an inference reconciliation…

cs.AI2021

Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery

Devleena Das, Siddhartha Banerjee, Sonia Chernova

With the growing capabilities of intelligent systems, the integration of robots in our everyday life is increasing. However, when interacting in such complex human environments, th…

cs.AI20203 cited

Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery

Devleena Das, Siddhartha Banerjee, Sonia Chernova

With the growing capabilities of intelligent systems, the integration of artificial intelligence (AI) and robots in everyday life is increasing. However, when interacting in such c…

cs.AI2020101 cited

Rearrangement: A Challenge for Embodied AI

Dhruv Batra, Angel X. Chang, Sonia Chernova +9

We describe a framework for research and evaluation in Embodied AI. Our proposal is based on a canonical task: Rearrangement. A standard task can focus the development of new techn…

cs.AI2019

Path Ranking with Attention to Type Hierarchies

Weiyu Liu, Angel Daruna, Zsolt Kira +1

The objective of the knowledge base completion problem is to infer missing information from existing facts in a knowledge base. Prior work has demonstrated the effectiveness of pat…

cs.AI2018

Action Categorization for Computationally Improved Task Learning and Planning

Lakshmi Nair, Sonia Chernova

This paper explores the problem of task learning and planning, contributing the Action-Category Representation (ACR) to improve computational performance of both Planning and Reinf…