Junhao Zhang

Dr. Junhao Zhang

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Journal Article
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JZJunhao Zhang
Junhao Zhang
Yinglong ChenYinglong Chen
Yinglong Chen
YLYi Liu
Yi Liu
YGYongjun Gong
Yongjun Gong
For decades, underwater vehicles have been performing underwater operations, which are critical to the development and upgrading of underwater robots. With the advancement of technology, various types of robots have been developed. The underwater robotic snake is a bioinspired addition to the family of underwater robotic vehicles. In this paper, we propose an innovative underwater snake robot actuated by rigid propulsions and soft joints, which can improve the swimming efficiency and flexibility of the robot and reduce the probability of collision leading to damage. Existing math models of robotic snakes typically incorporate only planar motion, rarely considering spatial motion. So, we formulate a complete three-dimensional dynamic model for the robotic snake, which is extended by deriving expressions for the geometric Jacobians. This modeling approach is well suited since it provides compact matrix expressions and easy implementation. We use the constant curvature method to describe the configuration of the soft joint, use the Lagrangian method to obtain its dynamic characteristics, and focus on deriving the visco-hyperelastic mechanical energy of the soft material. Next, the local dynamics of soft members are extended as a nonholonomic constraint form for modeling the snake robot. Finally, the multi-modal swimming behavior of the robot has been verified by simulations, including forward and backward rectilinear motion, yaw turning, pitch motion, and spiral rising motion. The overall results demonstrate the effectiveness and the versatility of the developed dynamic model in the prediction of the robot trajectory, position, orientation, and velocity.

21 October 2020 in Actuators
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Yinglong ChenYinglong Chen
Yinglong Chen
JZJunhao Zhang
Junhao Zhang
YGYongjun Gong
Yongjun Gong
The soft actuator possesses the characteristics of flexibility, environmental adaptability, and human–machine interaction. Firstly, aiming to resolve the limitation of variable stiffness performance of a traditional pneumatic artificial muscle (PAM) actuator, based on the antagonistic mechanism of extensor and contractor muscles, a novel pneumatic soft actuator coupled of extensor and contractor muscles is proposed in this paper. The actuator can perform the compound action of elongation/contraction, and the stiffness of it can be controlled by adjusting the elongation and contraction forces. Secondly, based on the deformation principle of woven and elastic fabric layers, the mechanical characteristics model of the actuator is established and simulated. The mechanical properties of the actuator are tested under different pressures and deformation displacement and the variable stiffness characteristics of the actuator are verified. Finally, actuators are utilized to manufacture a soft mechanical manipulator, which can achieve variable stiffness in a fixed bending attitude.

Verified
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Yinglong ChenYinglong Chen
Yinglong Chen
QSQiang Sun
Qiang Sun
JWJia Wang
Jia Wang
JZJunhao Zhang
Junhao Zhang
PZPengyu Zhao
Pengyu Zhao
YGYongjun Gong
Yongjun Gong
Soft manipulators have desirable environmental compatibility because of their pliability. However, this pliability also brings challenges to modeling and control when considering contact or collision with the environment. In previous work, we established several mathematical models for describing fluidic soft manipulators under environmental effects and verified their accuracy. However, the controller design for a soft manipulator is still a significant challenge, especially under the conditions of environmental contact. In this paper, we build upon our previously established work by conducting feedforward compensation for a soft manipulator under contact constraints and designing a sliding mode controller based on an operational space dynamics model. Then, we combine the feedforward compensation model with the sliding mode controller to realize accurate position control of the soft manipulator. Finally, simulation and experimental results show that this controller can accurately and effectively control the position of the soft manipulator.

22 August 2023 in Ships and Offshore Structures
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Closed access
JZJunhao Zhang
Junhao Zhang
YCYinglong Chen
Yinglong Chen
YGYongjun Gong
Yongjun Gong

25 August 2022 in Synlett
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KLKe-Wei Lei
Ke-Wei Lei
HLHongxin Liu
Hongxin Liu
WWWen-Ting Wei
Wen-Ting Wei
YGYu-Tao Guan
Yu-Tao Guan
JLJiao-Zhe Li
Jiao-Zhe Li
JZJunhao Zhang
Junhao Zhang
A novel method for assembling pyrrolidine-2,4-diones from 1,5-enenitriles and acetone/acetonitrile via a cyclization/hydrolysis has been established under metal-catalyst- and base-free conditions, with Oxone as a green oxidant and H2O as an additive at 90–110 ℃. This strategy is highlighted by cyclization/hydrolysis of alkyl cyanides, achieving direct C(sp3)–H oxidative functionalization, and giving full conversion of the substrates with excellent functional group compatibility.

5 March 2026 in Estuarine, Coastal and Shelf Science
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Journal Article
Closed access
JZJunhao Zhang
Junhao Zhang
JYJiancheng Yu
Jiancheng Yu
JSJie Sun
Jie Sun
SLShilong Li
Shilong Li
QZQi Zhang
Qi Zhang
XYXiaolong Yu
Xiaolong Yu