activity
20212026
most citedmBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals

28 citations · 69 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Instruction-Conditioned Motion Control for Robotic Arms: Language-to-Code Decomposition and Reinforcement Learning

Fan Huang, Dezhong Tong, Changyu Chen +2

Instruction-Conditioned Motion Control (ICMC) separates parameter specification, instruction generation, and code synthesis for language-driven robot control, making execution outc…

cs.RO2026

Highly Deformable Proprioceptive Membrane for Real-Time 3D Shape Reconstruction

Guanyu Xu, Jiaqi Wang, Dezhong Tong +1

Reconstructing the three-dimensional (3D) geometry of object surfaces is essential for robot perception, yet vision-based approaches degrade under low illumination or occlusion. Th…

cs.RO2025

Rapidly Learning Soft Robot Control via Implicit Time-Stepping

Andrew Choi, Dezhong Tong, Xiaonan Huang

With the explosive growth of rigid-body simulators, policy learning in simulation has become the de facto standard for most rigid morphologies. In contrast, soft robotic simulation…

cs.RO2023

Sim2Real Neural Controllers for Physics-based Robotic Deployment of Deformable Linear Objects

Dezhong Tong, Andrew Choi, Longhui Qin +3

Deformable linear objects (DLOs), such as rods, cables, and ropes, play important roles in daily life. However, manipulation of DLOs is challenging as large geometrically nonlinear…

cs.RO2023★ 28 cited

mBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals

Andrew Choi, Dezhong Tong, Brian Park +3

Robotic manipulation of deformable materials is a challenging task that often requires realtime visual feedback. This is especially true for deformable linear objects (DLOs) or "ro…

cs.RO2023★ 14 cited

Learning Neural Force Manifolds for Sim2Real Robotic Symmetrical Paper Folding

Andrew Choi, Dezhong Tong, Demetri Terzopoulos +2

Robotic manipulation of slender objects is challenging, especially when the induced deformations are large and nonlinear. Traditionally, learning-based control approaches, such as…

cs.GR2022★ 27 cited

A Fully Implicit Method for Robust Frictional Contact Handling in Elastic Rods

Dezhong Tong, Andrew Choi, Jungseock Joo +1

Accurate frictional contact is critical in simulating the assembly of rod-like structures in the practical world, such as knots, hairs, flagella, and more. Due to their high geomet…

cs.RO2021

Automated stability testing of elastic rods with helical centerlines using a robotic system

Dezhong Tong, Andy Borum, M. Khalid Jawed

Experimental analysis of the mechanics of a deformable object, and particularly its stability, requires repetitive testing and, depending on the complexity of the object's shape, a…