70 citations · 90 across the 12 of their papers we have counts for
12 papers
A neuromorphic vision system for open-world visual intelligence
Jiankai Yin, Zheng Miao, Lianghao Guo +13
Time-efficient and robust visual intelligence remains a critical challenge in unstructured open-world environments, yet current approaches often rely on computationally intensive n…
Bio-plausible Neuromorphic Disturbance Observer Based on Emulation Theory: Extended Version
Hongfu Xu, Xiaoyu Guo, Shengbo Wang +1
Biological neural systems achieve remarkable robustness and adaptability in uncertain environments through sparse, event-driven spike-based information processing and adaptive regu…
Physiology-informed layered sensing for intelligent human-exoskeleton interaction
Chenyu Tang, Yu Zhu, Josée Mallah +10
Wearable exoskeletons hold transformative promise for restoring mobility across diverse users with muscular weakness or other impairments. However, their translation beyond laborat…
An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment
Chenyu Tang, Ruizhi Zhang, Shuo Gao +21
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of…
Wearable intelligent throat enables natural speech in stroke patients with dysarthria
Chenyu Tang, Shuo Gao, Cong Li +20
Wearable silent speech systems hold significant potential for restoring communication in patients with speech impairments. However, seamless, coherent speech remains elusive, and c…
High-Order Associative Learning Based on Memristive Circuits for Efficient Learning
Shengbo Wang, Xuemeng Li, Jialin Ding +5
Memristive associative learning has gained significant attention for its ability to mimic fundamental biological learning mechanisms while maintaining system simplicity. In this wo…
Neuromorphic spatiotemporal optical flow: Enabling ultrafast visual perception beyond human capabilities
Shengbo Wang, Jingwen Zhao, Tongming Pu +14
Optical flow, inspired by the mechanisms of biological visual systems, calculates spatial motion vectors within visual scenes that are necessary for enabling robotics to excel in c…
GEM: A GEneral Memristive Transistor Model
Shengbo Wang, Jingfang Pei, Cong Li +5
Neuromorphic devices, with their distinct advantages in energy efficiency and parallel processing, are pivotal in advancing artificial intelligence applications. Among these device…
Self-reconfigurable Multifunctional Memristive Nociceptor for Intelligent Robotics
Shengbo Wang, Mingchao Fang, Lekai Song +5
Artificial nociceptors, mimicking human-like stimuli perception, are of significance for intelligent robotics to work in hazardous and dynamic scenarios. One of the most essential…
Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems
Shengbo Wang, Cong Li, Tongming Pu +5
Memristive neuromorphic systems are designed to emulate human perception and cognition, where the memristor states represent essential historical information to perform both low-le…
Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics
Lekai Song, Pengyu Liu, Jingfang Pei +8
The demand for efficient edge vision has spurred the interest in developing stochastic computing approaches for performing image processing tasks. Memristors with inherent stochast…
Intelligent machines work in unstructured environments by differential neuromorphic computing
Shengbo Wang, Shuo Gao, Chenyu Tang +9
Efficient operation of intelligent machines in the real world requires methods that allow them to understand and predict the uncertainties presented by the unstructured environment…