AI Medical Compendium Topic:
Computer Simulation

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Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training.

Journal of robotic surgery
Robotic surgical training is undergoing a period of transition now that new robotic operating platforms are entering clinical practice. As this occurs, training will need to be adapted to include strategies to train across various consoles. These new...

Efficient Informative Path Planning via Normalized Utility in Unknown Environments Exploration.

Sensors (Basel, Switzerland)
Exploration is an important aspect of autonomous robotics, whether it is for target searching, rescue missions, or reconnaissance in an unknown environment. In this paper, we propose a solution to efficiently explore the unknown environment by unmann...

Neurodynamics-driven portfolio optimization with targeted performance criteria.

Neural networks : the official journal of the International Neural Network Society
This paper addresses portfolio selection with targeted performance criteria via neurodynamic optimization. Five portfolio optimization problems are formulated with a variable weight to maximize five risk-adjusted performance criteria in Markowitz's m...

Orientation-Preserving Rewards' Balancing in Reinforcement Learning.

IEEE transactions on neural networks and learning systems
Auxiliary rewards are widely used in complex reinforcement learning tasks. However, previous work can hardly avoid the interference of auxiliary rewards on pursuing the main rewards, which leads to the destruction of the optimal policy. Thus, it is c...

Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot.

IEEE transactions on neural networks and learning systems
This study proposes the time-/event-triggered adaptive neural control strategies for the asymptotic tracking problem of a class of uncertain nonlinear systems with full-state constraints. First, we design a time-triggered strategy. The effect caused ...

Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching.

IEEE transactions on neural networks and learning systems
This article presents theoretical results on the multistability of switched neural networks with Gaussian activation functions under state-dependent switching. It is shown herein that the number and location of the equilibrium points of the switched ...

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 ...