Papers
10
Total Citations
77
H-Index
5
About
Dayuan Chen is a robotics researcher whose work focuses on the manipulation of deformable objects—a notoriously difficult challenge in the field. His research spans three key areas: deformable linear objects (DLOs), garment and textile handling, and construction robotics. Chen’s most cited paper, “Untangling Multiple Deformable Linear Objects in Unknown Quantities With Complex Backgrounds” (2023, 26 citations), introduces a novel approach to recognizing topological models of entwined cables and cords, enabling robots to autonomously untangle them—a critical capability for manufacturing and assembly. In construction, Chen developed Puttybot (2024, 16 citations), a sensorized robot for autonomous putty plastering that uses force control to achieve consistent finishing quality, addressing a long-standing bottleneck in construction automation. His earlier work on vision-based robotic oocyte transfer (2021, 10 citations) demonstrates his versatility, applying precision manipulation to biomedical cryopreservation. Chen’s recent innovations include integrating Large Language Models with behavior trees for garment handling (2024) and designing underactuated robotic hands for cloth manipulation (2025). With over 75 total citations and a growing portfolio of force-controlled, adaptive manipulation systems, Chen is advancing robots’ ability to handle the soft, flexible, and unpredictable materials that dominate real-world environments.
Research Focus
Key Achievements
Top Papers
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- 2Puttybot: A sensorized robot for autonomous putty plastering16 citations · 2024
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- 4Putty Plastering Realized by a Force Controlled Robotic Scraper7 citations · 2021
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- 9A Versatile Underactuated Robotic Hand for Cloth Manipulation2 citations · 2025
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