AIMC Topic: Robotics

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A GPU-accelerated cortical neural network model for visually guided robot navigation.

Neural networks : the official journal of the International Neural Network Society
Humans and other terrestrial animals use vision to traverse novel cluttered environments with apparent ease. On one hand, although much is known about the behavioral dynamics of steering in humans, it remains unclear how relevant perceptual variables...

Neural networks for tracking of unknown SISO discrete-time nonlinear dynamic systems.

ISA transactions
This article presents a Lyapunov function based neural network tracking (LNT) strategy for single-input, single-output (SISO) discrete-time nonlinear dynamic systems. The proposed LNT architecture is composed of two feedforward neural networks operat...

Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: Assistive and robotic training devices are increasingly used for rehabilitation of the hemiparetic arm after stroke, although applications for the wrist and hand are trailing behind. Furthermore, applying a training device in domestic set...

The effect of aspect ratio on the leading-edge vortex over an insect-like flapping wing.

Bioinspiration & biomimetics
Insect wing shapes are diverse and a renowned source of inspiration for the new generation of autonomous flapping vehicles, yet the aerodynamic consequences of varying geometry is not well understood. One of the most defining and aerodynamically sign...

Long-term Effectiveness of Intensive Therapy in Chronic Stroke.

Neurorehabilitation and neural repair
Background While recent clinical trials involving robot-assisted therapy have failed to show clinically significant improvement versus conventional therapy, it is possible that a broader strategy of intensive therapy-to include robot-assisted rehabil...

Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions.

International journal of computer assisted radiology and surgery
PURPOSE: Advances in technology and computing play an increasingly important role in the evolution of modern surgical techniques and paradigms. This article reviews the current role of machine learning (ML) techniques in the context of surgery with a...

Impact of delay on telesurgical performance: study on the robotic simulator dV-Trainer.

International journal of computer assisted radiology and surgery
PURPOSE: To determine the impact of communication latency on telesurgical performance using the robotic simulator dV-TrainerĀ®.

Extracting motor synergies from random movements for low-dimensional task-space control of musculoskeletal robots.

Bioinspiration & biomimetics
In the field of human motor control, the motor synergy hypothesis explains how humans simplify body control dimensionality by coordinating groups of muscles, called motor synergies, instead of controlling muscles independently. In most applications o...

Principles of appendage design in robots and animals determining terradynamic performance on flowable ground.

Bioinspiration & biomimetics
Natural substrates like sand, soil, leaf litter and snow vary widely in penetration resistance. To search for principles of appendage design in robots and animals that permit high performance on such flowable ground, we developed a ground control tec...