Physics-informed neural networks-based model predictive control for multi-link manipulators
We discuss nonlinear model predictive control (MPC) for multi-body dynamics via physics-
informed machine learning methods. In more detail, we use a physics-informed neural …
informed machine learning methods. In more detail, we use a physics-informed neural …
Model predictive control applied to different time-scale dynamics of flexible joint robots
Modern Lightweight robots are constructed to be collaborative, which often results in a low
structural stiffness compared to conventional rigid robots. Therefore, the controller must be …
structural stiffness compared to conventional rigid robots. Therefore, the controller must be …
Predictive tracking of an object by a pan–tilt camera of a robot
Moving-object tracking using a pan–tilt camera setup is quite a well-known task in robotics.
However, the presented research addresses specific properties of the tracked object and …
However, the presented research addresses specific properties of the tracked object and …
Vision-guided mpc for robotic path following using learned memory-augmented model
A Rastegarpanah, J Hathaway… - Frontiers in Robotics and AI, 2021 - frontiersin.org
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 …
geometric surface path with high accuracy, is a fundamental problem for contact-rich tasks …
On the simplification of the internal nonlinear robot models for the MPC-based visual servoing
Visual servoing enables tracking and gras** of static and moving objects and locating
regions of interest. Its implementation requires the coordination of low-level control tasks …
regions of interest. Its implementation requires the coordination of low-level control tasks …
Model predictive control for flexible joint robots
M Iskandar, C van Ommeren, X Wu… - arxiv preprint arxiv …, 2022 - arxiv.org
Modern Lightweight robots are constructed to be collaborative, which often results in a low
structural stiffness compared to conventional rigid robots. Therefore, the controller must be …
structural stiffness compared to conventional rigid robots. Therefore, the controller must be …
[HTML][HTML] Design, Simulation, and Comparison of Advanced Control Strategies for a 3-Degree-of-Freedom Robot
C Urrea, J Kern, V Torres - Applied Sciences, 2024 - mdpi.com
This study presents the design, simulation, and comparative analysis of three advanced
control strategies applied to a 3-Degree-of-Freedom (DoF) robot manipulator. The …
control strategies applied to a 3-Degree-of-Freedom (DoF) robot manipulator. The …
Identification of friction models for mpc-based control of a powercube serial robot
For model-based control, an accurate and in its complexity suitable representation of the
real system is a decisive prerequisite for high and robust control quality. In a structured step …
real system is a decisive prerequisite for high and robust control quality. In a structured step …
Robotics and Vibration Mechanics
Robotics and vibration mechanics are among the main research areas in mechanical
engineering. Robotics includes the design, construction, control, operation, and trajectory …
engineering. Robotics includes the design, construction, control, operation, and trajectory …
Predictive tracking of an object by a pan–tilt camera of a robot
N Robert, Z Krzysztof, S Dawid - 2023 - dlib.phenikaa-uni.edu.vn
Moving-object tracking using a pan–tilt camera setup is quite a well-known task in robotics.
However, the presented research addresses specific properties of the tracked object and …
However, the presented research addresses specific properties of the tracked object and …