Works (6)

Updated: July 18th, 2024 05:02

2024 journal article

Experiment-free exoskeleton assistance via learning in simulation

By: S. Luo n, M. Jiang n, S. Zhang n, J. Zhu n, S. Yu n, I. Silva n, T. Wang n, E. Rouse* ...

UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 15, 2024

2024 article

Untethered Fluidic Engine for High-Force Soft Wearable Robots

Di Lallo, A., Yu, S., Slightam, J. E., Gu, G. X., Yin, J., & Su, H. (2024, June 13). ADVANCED INTELLIGENT SYSTEMS, Vol. 6.

By: A. Di Lallo n, S. Yu n, J. Slightam*, G. Gu*, J. Yin n & H. Su n

author keywords: artificial muscles; electric motors; hydraulic actuation; untethered soft robots; wearable robots
Sources: Web Of Science, NC State University Libraries
Added: June 24, 2024

2023 journal article

Actuator optimization and deep learning-based control of pediatric knee exoskeleton for community-based mobility assistance

MECHATRONICS, 97.

By: S. Zhang n, J. Zhu n, T. Huang n, S. Yu n, J. Sen Huang, I. Lopez-Sanchez n, T. Devine*, M. Abdelhady* ...

author keywords: Pediatric exoskeleton; Actuator optimization; Cerebral palsy; Deep learning
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 29, 2024

2023 article

Artificial Neural Network-Based Activities Classification, Gait Phase Estimation, and Prediction

Yu, S., Yang, J., Huang, T.-H., Zhu, J., Visco, C. J., Hameed, F., … Su, H. (2023, January 21). ANNALS OF BIOMEDICAL ENGINEERING, Vol. 1.

By: S. Yu n, J. Yang n, T. Huang n, J. Zhu n, C. Visco*, F. Hameed*, J. Stein*, X. Zhou*, H. Su n

Contributors: S. Yu n, J. Yang n, T. Huang n, J. Zhu n, C. Visco*, F. Hameed*, J. Stein*, X. Zhou*, H. Su n

author keywords: Activities classification; Gait phase detection; Artificial neural networks; Exoskeleton
MeSH headings : Humans; Gait; Walking; Lower Extremity; Neural Networks, Computer; Algorithms; Movement Disorders; Biomechanical Phenomena
TL;DR: A high-accuracy gait phase estimation and prediction algorithm built on a two-stage artificial neural network that can detect the gait phase in unrhythmic conditions during walking, stair ascending, and stair descending, and classify these activities with standing. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: March 6, 2023

2023 article

Position-aware pushing and grasping synergy with deep reinforcement learning in clutter

Zhao, M., Zuo, G., Yu, S., Gong, D., Wang, Z., & Sie, O. (2023, August 2). CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY.

author keywords: deep learning; deep neural networks; intelligent robots
TL;DR: An end‐to‐end position‐aware deep Q‐learning framework to achieve efficient collaborative pushing and grasping in clutter and an object isolation metric and clutter metric based on instance segmentation to measure the spatial relationships between objects in cluttered environments are proposed. (via Semantic Scholar)
Source: Web Of Science
Added: August 21, 2023

2022 journal article

Bio-inspired design of a self-aligning, lightweight, and highly-compliant cable-driven knee exoskeleton

FRONTIERS IN HUMAN NEUROSCIENCE, 16.

author keywords: bioinspired design; cable-driven; self-alignment; knee exoskeleton; complaint actuators
TL;DR: This paper proposes a bio-inspired knee exoskeleton with a joint design that mimics the human knee joint to accomplish a lightweight and high compliance design and demonstrates performance improvement compared with state-of-the-art exoskeletons. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 5, 2022

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