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09/15/2023
MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception
A holistic understanding of object properties across diverse sensory mod...
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04/11/2023
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents
Despite advances in Reinforcement Learning, many sequential decision mak...
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03/07/2023
Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition
Humans learn about objects via interaction and using multiple perception...
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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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12/21/2022
Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation
Generalisation to unseen contexts remains a challenge for embodied navig...
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09/14/2022
Transferring Implicit Knowledge of Non-Visual Object Properties Across Heterogeneous Robot Morphologies
Humans leverage multiple sensor modalities when interacting with objects...
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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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04/21/2022
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
Creative Problem Solving (CPS) is a sub-area within Artificial Intellige...
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04/11/2022
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Despite recent advances in Reinforcement Learning (RL), many problems, e...
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10/10/2021
An Augmented Reality Platform for Introducing Reinforcement Learning to K-12 Students with Robots
Interactive reinforcement learning, where humans actively assist during ...
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09/22/2021
AI-HRI 2021 Proceedings
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Sympo...
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09/15/2021
A Framework for Multisensory Foresight for Embodied Agents
Predicting future sensory states is crucial for learning agents such as ...
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06/06/2021
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning
Robots frequently need to perceive object attributes, such as "red," "he...
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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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11/09/2020
SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction
Establishing common ground between an intelligent robot and a human requ...
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11/06/2020
HAVEN: A Unity-based Virtual Robot Environment to Showcase HRI-based Augmented Reality
Due to the COVID-19 pandemic, conducting Human-Robot Interaction (HRI) s...
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10/26/2020
Proceedings of the AI-HRI Symposium at AAAI-FSS 2020
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Sympo...
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03/10/2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Reinforcement learning (RL) is a popular paradigm for addressing sequent...
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09/11/2019
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019
The past few years have seen rapid progress in the development of servic...
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03/01/2019
Improving Grounded Natural Language Understanding through Human-Robot Dialog
Natural language understanding for robotics can require substantial doma...
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10/06/2018