When humans hop, attitude recovery can be observed in both the sagittal and frontal planes. While it is agreed that the brain plays an important role in leg placement, the role of low-level feedback (the stretch reflex) on frontal plane stabilization...
With the aim to extend the versatility and adaptability of robots in complex environments, a novel multi-modal flying and walking robot is presented. The robot consists of a flying wing with adaptive morphology that can perform both long distance fli...
OBJECTIVE: The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct ...
IEEE transactions on neural networks and learning systems
Sep 17, 2014
We discuss the design of an experimentation platform intended for prototyping low-cost analog neural networks for on-chip integration with analog/RF circuits. The objective of such integration is to support various tasks, such as self-test, self-tuni...
IEEE transactions on bio-medical engineering
Jul 31, 2014
Fine-wire intramuscular electrodes were used to obtain electromyogram (EMG) signals from six extrinsic hand muscles associated with the thumb, index, and middle fingers. Subjects' EMG activity was used to control a virtual three-degree-of-freedom (DO...
Tissue engineering and regenerative medicine
Aug 1, 2025
BACKGROUND: Wound healing remains a significant challenge in healthcare, particularly for complex and chronic wounds where conventional treatments often fail to provide effective solutions. Recent advances in nanofiber technology have opened new aven...
Nowadays, developing highly efficient and sensitive flexible optical biomimetic devices for the sensing of physical stimulus still has great challenges. Mimosa, as a sensitive plant, can respond to stimuli, such as touch force and wind blowing with l...
Dexterous robotic hands have been a central focus in robotics research, aiming to replicate the versatility and functionality of the human hand. This review provides a comprehensive analysis of the latest advancements in the literature on dexterous r...
Spiking neural network (SNN) hardware relies on implicit assumptions that prioritize dendritic/synaptic learning above axon/synaptic concerns, compromising performances in signal capacity, accuracy, and compactness of SNN systems. Herein, we develop ...
The design of continuum robots often involves a dilemma between flexibility and stiffness, where increased flexibility may reduce stiffness and control precision. The human hand achieves both power grasp and precision grasp by leveraging different jo...
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