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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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07/04/2023
Human Emotion Recognition Based On Galvanic Skin Response signal Feature Selection and SVM
A novel human emotion recognition method based on automatically selected...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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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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05/26/2023
TFDet: Target-aware Fusion for RGB-T Pedestrian Detection
Pedestrian detection is a critical task in computer vision because of it...
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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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02/06/2023
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging
Surgery for gliomas (intrinsic brain tumors), especially when low-grade,...
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01/26/2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence
Real-time machine learning has recently attracted significant interest d...
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10/25/2022
Cross-View Image Sequence Geo-localization
Cross-view geo-localization aims to estimate the GPS location of a query...
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10/19/2022
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization
We propose a framework to enable multipurpose assistive mobile robots to...
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10/14/2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Decentralized optimization is effective to save communication in large-s...
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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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05/01/2022
COUCH: Towards Controllable Human-Chair Interactions
Humans interact with an object in many different ways by making contact ...
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03/11/2022
Deep Class Incremental Learning from Decentralized Data
In this paper, we focus on a new and challenging decentralized machine l...
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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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02/14/2022
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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12/30/2021
Visual and Object Geo-localization: A Comprehensive Survey
The concept of geo-localization refers to the process of determining whe...
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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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07/13/2021
Object Tracking and Geo-localization from Street Images
Geo-localizing static objects from street images is challenging but also...
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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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12/17/2020
Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
This paper focuses on the problem of online golf ball detection and trac...
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10/07/2020
Actor-Critic Algorithm for High-dimensional Partial Differential Equations
We develop a deep learning model to effectively solve high-dimensional n...
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05/03/2020
Plasticity without phenomenology: a first step
A novel, concurrent multiscale approach to meso/macroscale plasticity is...
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04/04/2020
Deep Reinforcement Learning for Fog Computing-based Vehicular System with Multi-operator Support
This paper studies the potential performance improvement that can be ach...
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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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08/31/2019