Vision-Guided MPC for Robotic Path Following Using Learned Memory-Augmented Model
The control of the interaction between the robot and environment, following a predefined geometric surface path with high accuracy, is a fundamental problem for contact-rich tasks such as machining, polishing, or grinding. Flexible path-following control presents numerous applications in emerging in...
Main Authors: | Alireza Rastegarpanah, Jamie Hathaway, Rustam Stolkin |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-07-01
|
Series: | Frontiers in Robotics and AI |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2021.688275/full |
Similar Items
-
Rapid Model-Free State of Health Estimation for End-of-First-Life Electric Vehicle Batteries Using Impedance Spectroscopy
by: Alireza Rastegarpanah, et al.
Published: (2021-05-01) -
Motion Planning and Control of an Omnidirectional Mobile Robot in Dynamic Environments
by: Mahmood Reza Azizi, et al.
Published: (2021-03-01) -
Semi-Autonomous Behaviour Tree-Based Framework for Sorting Electric Vehicle Batteries Components
by: Alireza Rastegarpanah, et al.
Published: (2021-06-01) -
Nut Unfastening by Robotic Surface Exploration
by: Alireza Rastegarpanah, et al.
Published: (2021-09-01) -
Combining observed and predicted data for robot vision in poor visibility
by: Stolkin, Rustam Alexander George
Published: (2004)