activity
20182023
most citedIndustrial Robot Trajectory Tracking Using Multi-Layer Neural Networks Trained by Iterative Learning Control

4 citations · 7 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2023

Redundancy parameterization and inverse kinematics of 7-DOF revolute manipulators

Alexander J. Elias, John T. Wen

Seven degree-of-freedom (DOF) robot arms have one redundant DOF which does not change the motion of the end effector. The redundant DOF offers greater manipulability of the arm con…

cs.RO2023

High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots

Honglu He, Chen-lung Lu, Yunshi Wen +5

Industrial robots are increasingly deployed in applications requiring an end effector tool to closely track a specified path, such as in spraying and welding. Performance and produ…

cs.RO2022

IK-Geo: Unified Robot Inverse Kinematics Using Subproblem Decomposition

Alexander J. Elias, John T. Wen

This paper presents the open-source robot inverse kinematics (IK) solver IK-Geo, the fastest general IK solver based on published literature. In this unifying approach, IK for any…

cs.RO2020★ 2 cited

Adaptive Neural Trajectory Tracking Control for Flexible-Joint Robots with Online Learning

Shuyang Chen, John Wen

Collaborative robots and space manipulators contain significant joint flexibility. It complicates the control design, compromises the control bandwidth, and limits the tracking acc…

cs.RO2019★ 1 cited

Neural-Learning Trajectory Tracking Control of Flexible-Joint Robot Manipulators with Unknown Dynamics

Shuyang Chen, John T. Wen

Fast and precise motion control is important for industrial robots in manufacturing applications. However, some collaborative robots sacrifice precision for safety, particular for…

q-bio.MN2019

Rapid Circadian Entrainment in Models of Circadian Genes Regulation

Jiawei Yin, Agung Julius, John T. Wen

The light-based minimum-time circadian entrainment problem for mammals, Neurospora, and Drosophila is studied based on the mathematical models of their circadian gene regulation. T…

cs.RO2019★ 4 cited

Industrial Robot Trajectory Tracking Using Multi-Layer Neural Networks Trained by Iterative Learning Control

Shuyang Chen, John T. Wen

Fast and precise robot motion is needed in certain applications such as electronic manufacturing, additive manufacturing and assembly. Most industrial robot motion controllers allo…

eess.SY2018

Continuous Circadian Phase Estimation Using Adaptive Notch Filter

Wei Qiao, Kyle Altman, Agung Julius +2

Actigraphy has been widely used for the analysis of circadian rhythm. Current practice applies regression analysis to data from multiple days to estimate the circadian phase. This…