5 citations · 10 across the 28 of their papers we have counts for
7 papers · 1 filter
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction
Sibo Tian, Minghui Zheng, Xiao Liang
Human motion prediction is a cornerstone of human-robot collaboration (HRC), as robots need to infer the future movements of human workers based on past motion cues to proactively…
Grasping Force Control and Adaptation for a Cable-Driven Robotic Hand
Eric Mountain, Ean Weise, Sibo Tian +3
This paper introduces a unique force control and adaptation algorithm for a lightweight and low-complexity five-fingered robotic hand, namely an Integrated-Finger Robotic Hand (IFR…
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…
Improving Disturbance Estimation and Suppression via Learning among Systems with Mismatched Dynamics
Harsh Modi, Zhu Chen, Xiao Liang +1
Iterative learning control (ILC) is a method for reducing system tracking or estimation errors over multiple iterations by using information from past iterations. The disturbance o…
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…