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05/27/2023
Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds
Task planning systems have been developed to help robots use human knowl...
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04/17/2023
Grounding Classical Task Planners via Vision-Language Models
Classical planning systems have shown great advances in utilizing rule-b...
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10/04/2022
Robot Task Planning and Situation Handling in Open Worlds
Automated task planning algorithms have been developed to help robots co...
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02/21/2022
Reasoning with Scene Graphs for Robot Planning under Partial Observability
Robot planning in partially observable domains is difficult, because a r...
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04/23/2020
Guided Dyna-Q for Mobile Robot Exploration and Navigation
Model-based reinforcement learning (RL) enables an agent to learn world ...
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04/20/2020
Tractable Approximate Gaussian Inference for Bayesian Neural Networks
In this paper, we propose an analytical method allowing for tractable ap...
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07/08/2019
Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog
Some robots can interact with humans using natural language, and identif...
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01/16/2019
Robot Sequential Decision Making using LSTM-based Learning and Logical-probabilistic Reasoning
Sequential decision-making (SDM) plays a key role in intelligent robotic...
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09/19/2017
Rbox: an integrated R package for ATOM Editor
R is a programming language and environment that is a central tool in th...
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06/26/2015
Clustering categorical data via ensembling dissimilarity matrices
We present a technique for clustering categorical data by generating man...
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03/04/2015