Visual-admittance-based model predictive control for nuclear collaborative robots
This paper presents a novel visual-admittance-based model predictive control scheme to cope with the problem of vision/force control and several constraints of a nuclear collaborative robotic visual servoing system. A visual-admittance model considering the desired image feature and force command in...
Main Authors: | Jun Qi, Zhao Xu, Jiru Chu, Minglei Zhu, Yunlong Teng |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-06-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1203904/full |
Similar Items
-
Parallel Image-Based Visual Servoing/Force Control of a Collaborative Delta Robot
by: Minglei Zhu, et al.
Published: (2022-06-01) -
A Multi-Sensorial Hybrid Control for Robotic Manipulation in Human-Robot Workspaces
by: Juan A. Corrales, et al.
Published: (2011-10-01) -
Variable admittance control based on iterative learning scheme with adaptive gradient methods for human-robot collaborative manipulation
by: Tasuku YAMAWAKI, et al.
Published: (2023-01-01) -
Variable Admittance Control Based on Human–Robot Collaboration Observer Using Frequency Analysis for Sensitive and Safe Interaction
by: Hyomin Kim, et al.
Published: (2021-03-01) -
Control of Eye-And-Hand robot arm by visual space based visual servoing
by: Ryohei HIROSE, et al.
Published: (2022-03-01)