AIMC Topic: Computer Simulation

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Command-Filtered Robust Adaptive NN Control With the Prescribed Performance for the 3-D Trajectory Tracking of Underactuated AUVs.

IEEE transactions on neural networks and learning systems
A novel robust adaptive neural network (NN) control scheme with prescribed performance is developed for the 3-D trajectory tracking of underactuated autonomous underwater vehicles (AUVs) with uncertain dynamics and unknown disturbances using new pres...

Neural Adaptive Self-Triggered Control for Uncertain Nonlinear Systems With Input Hysteresis.

IEEE transactions on neural networks and learning systems
The issue of neural adaptive self-triggered tracking control for uncertain nonlinear systems with input hysteresis is considered. Combining radial basis function neural networks (RBFNNs) and adaptive backstepping technique, an adaptive self-triggered...

Computational modeling of color perception with biologically plausible spiking neural networks.

PLoS computational biology
Biologically plausible computational modeling of visual perception has the potential to link high-level visual experiences to their underlying neurons' spiking dynamic. In this work, we propose a neuromorphic (brain-inspired) Spiking Neural Network (...

An improved path planning algorithm based on artificial potential field and primal-dual neural network for surgical robot.

Computer methods and programs in biomedicine
Safety and accuracy are essential for path planning in a surgical navigation system. In this paper, an improved path planning algorithm is proposed to increase the autonomous level of spine surgery robots for higher safety and accuracy. Firstly, the ...

Optimization method and experimental research on attitude adjustment scheme of attitude adaptive rescue robot.

Scientific reports
To improve the space attitude adjustment efficiency of the robot designed in this study, the average water level height variation of each ballast tank during the rescue process and the ballast water filling mass before the rescue process are taken as...

Joint Interaction and Mutual Understanding in Social Robotics.

Science and engineering ethics
Social robotics aims at designing robots capable of joint interaction with humans. On a conceptual level, sufficient mutual understanding is usually said to be a necessary condition for joint interaction. Against this background, the following questi...

Digital Twin for a Multifunctional Technology of Flexible Assembly on a Mechatronics Line with Integrated Robotic Systems and Mobile Visual Sensor-Challenges towards Industry 5.0.

Sensors (Basel, Switzerland)
A digital twin for a multifunctional technology for flexible manufacturing on an assembly, disassembly, and repair mechatronics line (A/D/RML), assisted by a complex autonomous system (CAS), is presented in the paper. The hardware architecture consis...

Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields.

The journal of physical chemistry letters
Reconstructing force fields (FFs) from atomistic simulation data is a challenge since accurate data can be highly expensive. Here, machine learning (ML) models can help to be data economic as they can be successfully constrained using the underlying ...

A Mixed-Reality Tele-Operation Method for High-Level Control of a Legged-Manipulator Robot.

Sensors (Basel, Switzerland)
In recent years, legged (quadruped) robots have been subject of technological study and continuous development. These robots have a leading role in applications that require high mobility skills in complex terrain, as is the case of Search and Rescue...

Modeling and insights into the structural characteristics of drug-induced autoimmune diseases.

Frontiers in immunology
The incidence and complexity of drug-induced autoimmune diseases (DIAD) have been on the rise in recent years, which may lead to serious or fatal consequences. Besides, many environmental and industrial chemicals can also cause DIAD. However, there a...