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09/08/2023
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control
Seeing-eye robots are very useful tools for guiding visually impaired pe...
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07/21/2023
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning
In existing task and motion planning (TAMP) research, it is a common ass...
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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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05/25/2023
Efficient Approximation Algorithms for Spanning Centrality
Given a graph 𝒢, the spanning centrality (SC) of an edge e measures the ...
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05/08/2023
ARDIE: AR, Dialogue, and Eye Gaze Policies for Human-Robot Collaboration
Human-robot collaboration (HRC) has become increasingly relevant in indu...
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04/22/2023
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Large language models (LLMs) have demonstrated remarkable zero-shot gene...
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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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03/10/2023
Task and Motion Planning with Large Language Models for Object Rearrangement
Multi-object rearrangement is a crucial skill for service robots, and co...
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11/13/2022
Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration
In human-robot collaboration domains, augmented reality (AR) technologie...
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10/05/2022
GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks
Given the current point-to-point navigation capabilities of autonomous v...
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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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05/03/2022
Residual Graph Convolutional Recurrent Networks For Multi-step Traffic Flow Forecasting
Traffic flow forecasting is essential for traffic planning, control and ...
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04/11/2022
RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification
Multi-fidelity modelling arises in many situations in computational scie...
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04/07/2022
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochasti
A new data-driven method for operator learning of stochastic differentia...
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04/06/2022
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations
In this work, a Gaussian process regression(GPR) model incorporated with...
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03/21/2022
STCGAT: Spatial-temporal causal networks for complex urban road traffic flow prediction
Traffic forecasting is an essential component of intelligent transportat...
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02/22/2022
Visually Grounded Task and Motion Planning for Mobile Manipulation
Task and motion planning (TAMP) algorithms aim to help robots achieve ta...
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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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02/15/2022
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories
This paper proposes a new data-driven method for the reliable prediction...
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02/14/2022
Learning to Ground Objects for Robot Task and Motion Planning
Task and motion planning (TAMP) algorithms have been developed to help r...
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09/21/2021
Learning to Guide Human Attention on Mobile Telepresence Robots with 360 degree Vision
Mobile telepresence robots (MTRs) allow people to navigate and interact ...
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07/27/2021
Task and Situation Structures for Service Agent Planning
Everyday tasks are characterized by their varieties and variations, and ...
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07/23/2021
Learning Quadruped Locomotion Policies with Reward Machines
Legged robots have been shown to be effective in navigating unstructured...
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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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02/07/2021
Effective and Scalable Clustering on Massive Attributed Graphs
Given a graph G where each node is associated with a set of attributes, ...
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08/19/2020
A Survey of Knowledge-based Sequential Decision Making under Uncertainty
Reasoning with declarative knowledge (RDK) and sequential decision-makin...
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05/20/2020
Learning and Reasoning for Robot Dialog and Navigation Tasks
Reinforcement learning and probabilistic reasoning algorithms aim at lea...
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05/07/2020
Adaptive Dialog Policy Learning with Hindsight and User Modeling
Reinforcement learning methods have been used to compute dialog policies...
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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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04/22/2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
Deep reinforcement learning (RL) algorithms frequently require prohibiti...
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04/18/2020
iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots
Robot sequential decision-making in the real world is a challenge becaus...
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03/08/2020
Task-Motion Planning for Safe and Efficient Urban Driving
Autonomous vehicles need to plan at the task level to compute a sequence...
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01/18/2020
RCELF: A Residual-based Approach for Influence Maximization Problem
Influence Maximization Problem (IMP) is selecting a seed set of nodes in...
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01/18/2020
RCELF: A Residual-based Approach for InfluenceMaximization Problem
Influence Maximization Problem (IMP) is selecting a seed set of nodes in...
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09/24/2019
Negotiation-based Human-Robot Collaboration via Augmented Reality
Effective human-robot collaboration (HRC) requires extensive communicati...
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07/31/2019
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language
To be responsive to dynamically changing real-world environments, an int...
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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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11/21/2018
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
Task-motion planning (TMP) addresses the problem of efficiently generati...
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09/28/2018
Robot Representing and Reasoning with Knowledge from Reinforcement Learning
Reinforcement learning (RL) agents aim at learning by interacting with a...
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08/20/2018
Learning to Dialogue via Complex Hindsight Experience Replay
Reinforcement learning methods have been used for learning dialogue poli...
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04/23/2018
An Empirical Comparison of PDDL-based and ASP-based Task Planners
General purpose planners enable AI systems to solve many different types...
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08/17/2015
A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics
This paper describes an architecture that combines the complementary str...
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05/05/2014
KR^3: An Architecture for Knowledge Representation and Reasoning in Robotics
This paper describes an architecture that combines the complementary str...
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07/29/2013