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04/02/2023
A principled approach to model validation in domain generalization
Domain generalization aims to learn a model with good generalization abi...
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02/28/2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Learning to detect, characterize and accommodate novelties is a challeng...
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10/26/2022
Trade-off between reconstruction loss and feature alignment for domain generalization
Domain generalization (DG) is a branch of transfer learning that aims to...
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08/01/2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization
In this paper, we propose a novel domain generalization (DG) framework b...
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06/24/2022
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
We propose RAPid-Learn: Learning to Recover and Plan Again, a hybrid pla...
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06/23/2022
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
In order for artificial agents to perform useful tasks in changing envir...
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06/01/2022
Robots in healthcare as envisioned by care professionals
As AI-enabled robots enter the realm of healthcare and caregiving, it is...
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01/25/2022
Conditional entropy minimization principle for learning domain invariant representation features
Invariance principle-based methods, for example, Invariant Risk Minimiza...
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10/12/2021
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model
Dialogue agents that interact with humans in situated environments need ...
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09/04/2021
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization
For the Domain Generalization (DG) problem where the hypotheses are comp...
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07/09/2021
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver
The game of monopoly is an adversarial multi-agent domain where there is...
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06/11/2021
How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus
Intelligent agents that are confronted with novel concepts in situated e...
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04/23/2021
Can You Trust Your Trust Measure?
Trust in human-robot interactions (HRI) is measured in two main ways: th...
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04/07/2021
Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection
Regular irradiation of indoor environments with ultraviolet C (UVC) ligh...
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12/24/2020
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
Symbolic planning models allow decision-making agents to sequence action...
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05/04/2020
"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission
Autonomous robots with sophisticated capabilities can make it difficult ...
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02/08/2020
Assistive robots for the social management of health: a framework for robot design and human-robot interaction research
There is a close connection between health and the quality of one's soci...
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11/01/2019
Engaging in Dialogue about an Agent's Norms and Behaviors
We present a set of capabilities allowing an agent planning with moral a...
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11/01/2019
Generating Justifications for Norm-Related Agent Decisions
We present an approach to generating natural language justifications of ...
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02/04/2019
When Exceptions are the Norm: Exploring the Role of Consent in HRI
HRI researchers have made major strides in developing robotic architectu...
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11/26/2018
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory
Human-robot communication in situated environments involves a complex in...
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07/06/2018
Quasi-Dilemmas for Artificial Moral Agents
In this paper we describe moral quasi-dilemmas (MQDs): situations simila...
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10/28/2017
Interpretable Apprenticeship Learning with Temporal Logic Specifications
Recent work has addressed using formulas in linear temporal logic (LTL) ...
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07/15/2017
AI Challenges in Human-Robot Cognitive Teaming
Among the many anticipated roles for robots in the future is that of bei...
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04/26/2017
The MacGyver Test - A Framework for Evaluating Machine Resourcefulness and Creative Problem Solving
Current measures of machine intelligence are either difficult to evaluat...
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02/11/2016