Youcan Yan

ORCID: 0000-0002-1805-7107
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About
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Research Areas
  • Tactile and Sensory Interactions
  • Advanced Sensor and Energy Harvesting Materials
  • Soft Robotics and Applications
  • Geophysical Methods and Applications
  • Interactive and Immersive Displays
  • Advanced Neural Network Applications
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques
  • Industrial Vision Systems and Defect Detection
  • Computational Geometry and Mesh Generation
  • Vibration and Dynamic Analysis
  • Power Line Inspection Robots
  • 3D Shape Modeling and Analysis
  • 3D Printing in Biomedical Research
  • Image and Object Detection Techniques
  • Indoor and Outdoor Localization Technologies
  • Robot Manipulation and Learning
  • Seismology and Earthquake Studies
  • Thermal Analysis in Power Transmission

Université de Montpellier
2024

Centre National de la Recherche Scientifique
2024

Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
2024

City University of Hong Kong
2021-2022

University of Hong Kong
2021

Xi'an Jiaotong University
2018

Flexible magnetic sensors have tactile hyperacuity and the ability to distinguish between normal shear forces.

10.1126/scirobotics.abc8801 article EN Science Robotics 2021-02-24

Tactile perception is a primary sensing channel for both humans and robots to be conscious of the surface properties an object. Due unique functionalities mechanoreceptors in human skin, can easily distinguish materials with different characteristics (e.g., compressibility, roughness, etc.) by simply pressing sliding fingertip over samples. However, how achieve such delicate texture recognition remains open challenge due lack skin‐comparable tactile systems smart pattern algorithms. Herein,...

10.1002/aisy.202100076 article EN cc-by Advanced Intelligent Systems 2021-08-21

Robot-assisted minimally invasive surgery (RMIS) has become increasingly popular in the resection of cancers. However, lack tactile feedback clinical RMIS limits surgeon's haptic understanding tissue mechanics, making it hard to detect abnormalities (e.g., tumor) efficiently. In this letter, we propose an approach that can simultaneously localize and segment inclusions (artificial artificial via autonomous robotic palpation with a sensor. By using Bayesian optimization guided probing, tumor...

10.1109/lra.2021.3058870 article EN IEEE Robotics and Automation Letters 2021-02-13

Tactile sensors of high spatial resolution can provide rich contact information in terms accurate location and force magnitude for robots. However, achieving a normally requires density tactile sensing cells (or taxels), which will inevitably lead to crowded wire connections, more data acquisition time probably crosstalk between taxels. An alternative approach improve the without introducing taxels is employing super-resolution technology. Here, we propose novel method based on sinusoidally...

10.1109/lra.2022.3141449 article EN IEEE Robotics and Automation Letters 2022-01-10

We propose a deep visuo-tactile model for real-time estimation of the liquid inside deformable container in proprioceptive way. fuse two sensory modalities, i.e., raw visual inputs from RGB camera and tactile cues our specific sensor without any extra calibrations. The robotic system is well controlled adjusted based on real time. main contributions novelties work are listed as follows: 1) Explore way volume by developing an end-to-end predictive with multi-modal convolutional networks,...

10.1109/iros47612.2022.9981153 article EN 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022-10-23

Proximity sensing detects an object's presence without contact. However, research has rarely explored proximity in granular materials (GM) due to GM's lack of visual and complex properties. In this paper, we propose a granular-material-embedded autonomous system (GRAINS) based on three phenomena (fluidization, jamming, failure wedge zone). GRAINS can automatically sense buried objects beneath GM real-time manner (at least ~20 hertz) perceive them 0.5 ~ 7 centimeters ahead different granules...

10.48550/arxiv.2307.05935 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

The proximity perception of objects in granular materials is significant, especially for applications like minesweeping. However, due to particles' opacity and complex properties, existing sensors suffer from high costs sophisticated hardware user-cost unintuitive results. In this paper, we propose a simple yet effective sensing system underground stuff based on the haptic feedback sensor-granules interaction. We study employ unique characteristic particles -- failure wedge zone, combine...

10.48550/arxiv.2411.17083 preprint EN arXiv (Cornell University) 2024-11-25

The ultimate breaking strength of conductors always plays a vital role in the long-term safe operation transmission lines and it should be carefully considered designing conductor. While limited literature has been released regarding calculation ACCC (Aluminum Conductor Composite Core) conductors. In this study, finite element method based on real conductor samples is proposed to evaluate conductor, investigate how diameters (or sectional areas) composite core aluminum strands influence...

10.1051/matecconf/201815301005 article EN cc-by MATEC Web of Conferences 2018-01-01
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