7 citations · 7 across the 7 of their papers we have counts for
5 papers · 1 filter
A Hybrid Task-Constrained Motion Planning for Collaborative Robots in Intelligent Remanufacturing
Wansong Liu, Chang Liu, Xiao Liang +1
Industrial manipulators have extensively collaborated with human operators to execute tasks, e.g., disassembly of end-of-use products, in intelligent remanufacturing. A safety task…
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…
A Recurrent Neural Network Enhanced Unscented Kalman Filter for Human Motion Prediction
Wansong Liu, Sibo Tian, Boyi Hu +2
This paper presents a deep learning enhanced adaptive unscented Kalman filter (UKF) for predicting human arm motion in the context of manufacturing. Unlike previous network-based m…
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…