AIMC Topic: Feedback

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Exploring the potential of eye tracking on personalized learning and real-time feedback in modern education.

Progress in brain research
Eye tracking is one of the techniques used to investigate cognitive mechanisms involved in the school context, such as joint attention and visual perception. Eye tracker has portability, straightforward application, cost-effectiveness, and infant-fri...

A highly integrated bionic hand with neural control and feedback for use in daily life.

Science robotics
Restoration of sensorimotor function after amputation has remained challenging because of the lack of human-machine interfaces that provide reliable control, feedback, and attachment. Here, we present the clinical implementation of a transradial neur...

Flexible instrument with contact-aided structure and force feedback for endoscopic surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robot-assisted surgery can effectively reduce the difficulty and improve the success rate of the surgeries. However, currently available flexible instruments have several limitations, such as large size, few degrees of freedom, and lack o...

Field experiment of a telesurgery system using a surgical robot with haptic feedback.

Surgery today
PURPOSE: To verify the usefulness of haptic feedback in telesurgery and improve the safety of telerobotic surgery.

Adaptive dynamic programming-based hierarchical decision-making of non-affine systems.

Neural networks : the official journal of the International Neural Network Society
In this paper, the problem of multiplayer hierarchical decision-making problem for non-affine systems is solved by adaptive dynamic programming. Firstly, the control dynamics are obtained according to the theory of dynamic feedback and combined with ...

Bio-inspired, task-free continual learning through activity regularization.

Biological cybernetics
The ability to sequentially learn multiple tasks without forgetting is a key skill of biological brains, whereas it represents a major challenge to the field of deep learning. To avoid catastrophic forgetting, various continual learning (CL) approach...

Integration of feedforward and feedback control in the neuromechanics of vertebrate locomotion: a review of experimental, simulation and robotic studies.

The Journal of experimental biology
Animal locomotion is the result of complex and multi-layered interactions between the nervous system, the musculo-skeletal system and the environment. Decoding the underlying mechanisms requires an integrative approach. Comparative experimental biolo...

Contact feedback helps snake robots propel against uneven terrain using vertical bending.

Bioinspiration & biomimetics
Snakes can bend their elongate bodies in various forms to traverse various environments. We understand well how snakes use lateral body bending to push against asperities on flat ground for propulsion, and snake robots can do so effectively. However,...

Multidirectional Associative Memory Neural Network Circuit Based on Memristor.

IEEE transactions on biomedical circuits and systems
Multidirectional associative memory neural network(MAMNN) is a direct extension of bidirectional associative memory neural network, which can handle multiple associations. In this work, a circuit of MAMNN based on memristor is proposed, which simulat...

A modular strategy for distributed, embodied control of electronics-free soft robots.

Science advances
Robots typically interact with their environments via feedback loops consisting of electronic sensors, microcontrollers, and actuators, which can be bulky and complex. Researchers have sought new strategies for achieving autonomous sensing and contro...