Papers

5

Total Citations

254

H-Index

5

About

Jan Stria is a leading researcher in the intersection of computer vision and robotic manipulation, with a primary focus on the autonomous handling of deformable objects—specifically, garments. His work tackles one of robotics' grand challenges: enabling machines to perceive, grasp, and manipulate non-rigid materials like clothing. Stria’s most impactful contribution is the development of a complete pipeline for autonomous clothes folding, detailed in his 2016 paper (125 citations), which integrates vision, planning, and dual-arm control to transform a pile of laundry into neatly folded items. He has also pioneered methods for garment perception, including real-time segmentation and classification of hanging garments using learned features from 3D point clouds (22 citations), and model-free approaches to unfolding folded layers (7 citations). His research is notable for moving beyond simple grasping to address the complex perception and planning required for tasks like isolating a single garment from a pile or detecting folded layers. With a publication record spanning from 2014 to 2018, Stria’s work has laid critical groundwork for robotic laundry and textile handling, directly influencing the development of more autonomous and capable service robots.

Research Focus

Key Achievements

5
H-Index
5
Papers
254
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Folding Clothes Autonomously: A Complete Pipeline
125 citations · 2016
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Czech Technical University in Prague, Institute of Informatics of the Slovak Academy of Sciences

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
    Polygonal Models for Clothing
    21 citations · 2014
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago