Yuanlong Yu

About

Yuanlong Yu is a robotics and computer vision researcher whose work sits at the intersection of visual perception, human-robot interaction, and intelligent machine learning. His most significant contributions center on developing biologically inspired visual attention models for robotic systems. Beginning with his 2007 task-driven attention model and culminating in a widely cited object-based visual attention framework (2010, 68 citations), Yu has consistently advanced how robots perceive and prioritize visual information, drawing on cognitive science principles such as the integrated competition hypothesis to enable fast, efficient scene understanding. Yu has made substantial contributions to human-robot interaction, particularly through gesture recognition using data gloves with extreme learning machine methods (2016, 48 citations) and wearable device-based skill transfer from humans to robots (2019, 39 citations) — work with growing relevance given global aging demographics. His research portfolio also encompasses robotic grasping, mobile robot localization using hybrid evolutionary algorithms, key-frame selection via structured optimization, and multimodal 3D scene understanding. With over 230 cumulative citations, Yu's work reflects a sustained commitment to making robots more perceptive, adaptive, and capable of meaningful collaboration with humans — contributions of enduring relevance to the robotics research community.

Research Focus

Key Achievements

Top Papers

1. 1
   An Object-Based Visual Attention Model for Robotic Applications

   68 citations · 2010
2. 2
   Gesture recognition using data glove: An extreme learning machine method

   48 citations · 2016
3. 3
   Skill learning for human-robot interaction using wearable device

   39 citations · 2019
4. 4
   Diversified Key-Frame Selection Using Structured <inline-formula><tex-math notation="TeX">${L_{2,1}}$</tex-math></inline-formula> Optimization

   25 citations · 2014
5. 5
   Development and Evaluation of Object-Based Visual Attention for Automatic Perception of Robots

   20 citations · 2013
6. 6
   Robotic grasp detection using extreme learning machine

   13 citations · 2015
7. 7
   A SINGLE-OBJECT TRACKING METHOD FOR ROBOTS USING OBJECT-BASED VISUAL ATTENTION

   9 citations · 2012
8. 8
   Hybrid algorithm based mobile robot localization using DE and PSO

   7 citations · 2013
9. 9
   A Task-driven Object-based Attention Model for Robots

   6 citations · 2007
10. 10
    AM²FNet: Attention-based Multiscale & Multi-modality Fused Network

    5 citations · 2019

Key Collaborators

Contact & Links