4 citations · 6 across the 6 of their papers we have counts for
6 papers
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…
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…
A Review of Prospects and Opportunities in Disassembly with Human-Robot Collaboration
Meng-Lun Lee, Xiao Liang, Boyi Hu +3
Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-of-use (EoU) products. However, the current manual disassembly process is inefficient d…
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction
Sibo Tian, Minghui Zheng, Xiao Liang
Predicting human motion plays a crucial role in ensuring a safe and effective human-robot close collaboration in intelligent remanufacturing systems of the future. Existing works c…