AIMC Topic: Feedback

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Inherent Haptic Feedback From Supernumerary Robotic Limbs.

IEEE transactions on haptics
Supernumerary Robotics Limbs, or SuperLimbs for short, are wearable extra limbs for augmenting the wearer. SuperLimbs are attached directly to a human and, thereby, transmit a force from the environment to the human body. This inherent haptic feedbac...

Synchronization of memristive neural networks with unknown parameters via event-triggered adaptive control.

Neural networks : the official journal of the International Neural Network Society
This paper considers the drive-response synchronization of memristive neural networks (MNNs) with unknown parameters, where the unbounded discrete and bounded distributed time-varying delays are involved. Aiming at the unknown parameters of MNNs, the...

Locomotion with Pedestrian Aware from Perception Sensor by Pavement Sweeping Reconfigurable Robot.

Sensors (Basel, Switzerland)
Regular washing of public pavements is necessary to ensure that the public environment is sanitary for social activities. This is a challenge for autonomous cleaning robots, as they must adapt to the environment with varying pavement widths while avo...

Computational reproductions of external force field adaption without assuming desired trajectories.

Neural networks : the official journal of the International Neural Network Society
Optimal feedback control is an established framework that is used to characterize human movement. However, it is not fully understood how the brain computes optimal gains through interactions with the environment. In the past study, we proposed a mod...

Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback.

Neural networks : the official journal of the International Neural Network Society
In spiking neural P (SN P) systems, neurons are interconnected by means of synapses, and they use spikes to communicate with each other. However, in biology, the complex structure of dendritic tree is also an important part in the communication schem...

A novel manipulator with needle insertion forces feedback for robot-assisted lumbar puncture.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The use of lumbar puncture for paediatric diagnosis and treatment, such as cerebrospinal fluid sampling and intracranial pressure measurements, is steadily increasing. However, the standard 'blind' technique makes it difficult to attain a...

Quaternion Projection Rule for Rotor Hopfield Neural Networks.

IEEE transactions on neural networks and learning systems
A rotor Hopfield neural network (RHNN) is an extension of a complex-valued Hopfield neural network (CHNN) and has excellent noise tolerance. The RHNN decomposition theorem says that an RHNN decomposes into a CHNN and a symmetric CHNN. For a large num...

Adaptive Neural Control for a Class of Nonlinear Multiagent Systems.

IEEE transactions on neural networks and learning systems
This article studies the adaptive neural controller design for a class of uncertain multiagent systems described by ordinary differential equations (ODEs) and beams. Three kinds of agent models are considered in this study, i.e., beams, nonlinear ODE...

Sparse deep predictive coding captures contour integration capabilities of the early visual system.

PLoS computational biology
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to process context-dependent information in the early visual cortex. While numerous models have accounted for feedback effe...

Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Previous research has studied medical professionals' perception of artificial intelligence (AI). However, there has been a limited understanding of how healthcare consumers perceive and use AI-powered technologies such as mobile health apps. We colle...