Hongyi Liu

ORCID: 0000-0001-9618-8826
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About
Contact & Profiles
Research Areas
  • Robot Manipulation and Learning
  • Industrial Technology and Control Systems
  • Hand Gesture Recognition Systems
  • Teleoperation and Haptic Systems
  • Advanced Sensor and Control Systems
  • Advanced Algorithms and Applications
  • Human Pose and Action Recognition
  • Electromagnetic Launch and Propulsion Technology
  • Human-Automation Interaction and Safety
  • Robotic Path Planning Algorithms
  • Metallurgy and Material Forming
  • Metallurgical Processes and Thermodynamics
  • Image and Signal Denoising Methods
  • Fault Detection and Control Systems
  • Hydraulic and Pneumatic Systems
  • Advanced Measurement and Detection Methods
  • Soft Robotics and Applications
  • Manufacturing Process and Optimization
  • Geophysical Methods and Applications
  • Advanced Image Fusion Techniques
  • Elevator Systems and Control
  • Surface Modification and Superhydrophobicity
  • Advanced Computational Techniques and Applications
  • Robotics and Automated Systems
  • Machine Fault Diagnosis Techniques

Southeast University
2025

Hangzhou Normal University
2024

Nanjing University of Science and Technology
2011-2023

KTH Royal Institute of Technology
2016-2022

Chongqing Jiaotong University
2022

Dalian University of Technology
2014-2022

Dalian Maritime University
2022

Shanghai Jiao Tong University
2021

Ministry of Transport
2020

Research Institute of Highway
2020

10.1016/j.jmsy.2017.04.009 article EN Journal of Manufacturing Systems 2017-05-13

10.1016/j.rcim.2020.101997 article EN Robotics and Computer-Integrated Manufacturing 2020-06-13

Intuitive and robust multimodal robot control is the key toward human–robot collaboration (HRC) for manufacturing systems. Multimodal methods were introduced in previous studies. The allow human operators to intuitively without programming brand-specific code. However, most of are unreliable because feature representations not shared across multiple modalities. To target this problem, a deep learning-based fusion architecture proposed paper HRC consists three modalities: speech command, hand...

10.1109/access.2018.2884793 article EN cc-by-nc-nd IEEE Access 2018-01-01

In human-robot collaborative manufacturing, industrial robots would work alongside the human workers who jointly perform assigned tasks. Recent researches revealed that recognised motions could be used as input for control. However, information feedback channel from to is still limited. response requirement, this research explores potential of adopting augmented reality (AR) technologies in a worker support system manufacturing. The robot commands and instructions can virtually intuitively...

10.1016/j.promfg.2017.07.124 article EN Procedia Manufacturing 2017-01-01

A schematic illustration of iodinated BODIPY based on chalcogen modification the photophysical properties for near-infrared phototherapy tumors.

10.1039/d4qm00508b article EN Materials Chemistry Frontiers 2024-01-01

In human-robot collaborative manufacturing, industrial robot is required to dynamically change its pre-programmed tasks and collaborate with human operators at the same workstation. However, traditional controlled by control codes, which cannot support emerging needs of collaboration. response request, this research explored a deep learning-based multimodal interface for Three methods were integrated into interface, including voice recognition, hand motion body posture recognition. Deep...

10.1016/j.procir.2018.03.224 article EN Procedia CIRP 2018-01-01

Adaptive PID controller based on back propagation(BP) neural network has many merits like that simple algorithm of and self-study adaptive functions network. According the requirements system output performance, BP can autoadjust its weights to vary k <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> , xmlns:xlink="http://www.w3.org/1999/xlink">j</sub> xmlns:xlink="http://www.w3.org/1999/xlink">d</sub> . The simulation adjust results an...

10.1109/jcai.2009.86 article EN International Joint Conference on Artificial Intelligence 2009-04-01

The goal of this work was to use molecular dynamics (MD) simulations build amorphous surface layers polypropylene (PP) and cellulose inspect their physical interfacial properties. A new method produce models for these surfaces developed, which involved the a “soft” confining layer comprised xenon crystal. This compacts polymers into density distribution degree roughness that corresponds well experimental values. In addition, calculated properties such as density, cohesive energy coefficient...

10.1021/jp209024r article EN The Journal of Physical Chemistry B 2012-01-31

Abstract This paper addresses the distributed leader‐following consensus control problem for discrete‐time second‐order multi‐agent systems. A novel implicit discrete‐sliding mode controller is introduced, offering key advantage of mitigating chattering phenomenon typically associated with traditional explicit sliding method. It shown that proper parameters, surface can be reached in finite steps. Then errors will converge to zero exponentially. mixed linear complementarity (MLCP)...

10.1002/asjc.3676 article EN Asian Journal of Control 2025-04-14

Recent advancements in human-robot collaboration have enabled humans and robots to work together shared manufacturing environment. However, there still exist needs for a context-aware safety system that not only assures human but also provides efficiency. In this paper, the authors present efficiency at same time. The can plan robotic paths avoid colliding with while reach target positions Human poses be recognised by further increase Different modules, algorithms, interfaces are introduced...

10.1016/j.promfg.2018.10.042 article EN Procedia Manufacturing 2018-01-01

Pan-sharpening is a common image-fusion method. To improve the quality of fused images, multilevel deep learning method proposed in this paper. In training phase, we introduce Coupled Sparse Denoising Autoencorder (CSDA) to reconstruct high-Resolution (HR) multispectral (MS) image from low-Resolution (LR) MS and HR Panchromatic (Pan) image. CSDA has four networks including LM-HP network, HR-MS feature mapping network fine-tuning network. The hidden features as well function between two are...

10.1109/igarss.2018.8518121 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2018-07-01

Many metal components, especially large-sized ones, need to be ground or deburred after turning milling improve the surface qualities, which heavily depends on human interventions. Robot arms, combining movable platforms, are applied reduce work. However, robots and should work together due fact that most of parts belong small-batch products, resulting in a large number programming for operating robot platform. Targeting problem, this paper proposes new interface architecture towards minimum...

10.1016/j.procir.2018.03.013 article EN Procedia CIRP 2018-01-01

Implementing an industrial collaborative robot for Human-Robot Collaboration (HRC) in the automotive manufacturing industry is emerging technology-driven solution aiming to increase production efficiency and reduce human operator's ergonomic load. Successful implementation of innovative technology depends on technical feasibility acceptance by affected actors. Many studies exist that focus aspects HRC, however, research focuses understanding multi-actor concerns HRC adoption rare. In effort...

10.1016/j.techsoc.2022.102165 article EN cc-by Technology in Society 2022-11-09

Working principle of continuously variable transmission (CVT) applying in wind power system is analyzed. Mathematic model CVT established. Compared with fixed pitch power, the relation between energy utilization coefficient, and speed are studied. Dynamic simulations researched random speeds. The ratio, turbine rotational speed, generator's generator simulated when signals changed. Simulation results show that makes operate at an optimal blade tip obtain utilizing take full advantage be...

10.1109/iciea.2007.4318884 article EN 2007-05-01
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