6 citations · 7 across the 3 of their papers we have counts for
6 papers
Integrating Uncertainty-Aware Human Motion Prediction into Graph-Based Manipulator Motion Planning
Wansong Liu, Kareem Eltouny, Sibo Tian +2
There has been a growing utilization of industrial robots as complementary collaborators for human workers in re-manufacturing sites. Such a human-robot collaboration (HRC) aims to…
KG-Planner: Knowledge-Informed Graph Neural Planning for Collaborative Manipulators
Wansong Liu, Kareem Eltouny, Sibo Tian +2
This paper presents a novel knowledge-informed graph neural planner (KG-Planner) to address the challenge of efficiently planning collision-free motions for robots in high-dimensio…
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage
Kareem Eltouny, Seyedomid Sajedi, Xiao Liang
Visual inspection is predominantly used to evaluate the state of civil structures, but recent developments in unmanned aerial vehicles (UAVs) and artificial intelligence have incre…
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles
Kareem A. Eltouny, Wansong Liu, Sibo Tian +2
Ensuring the safety of human workers in a collaborative environment with robots is of utmost importance. Although accurate pose prediction models can help prevent collisions betwee…
High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers
Kareem Eltouny, Seyedomid Sajedi, Xiao Liang
Visual inspection is the predominant technique for evaluating the condition of civil infrastructure. The recent advances in unmanned aerial vehicles (UAVs) and artificial intellige…
A Nonparametric Unsupervised Learning Approach for Structural Damage Detection
Kareem Eltouny, Xiao Liang
In a world of aging infrastructure, structural health monitoring (SHM) emerges as a major step towards resilient and sustainable societies. The current advancements in machine lear…