activity
20222026
most citedmBEST: Realtime Deformable Linear Object Detection Through Minimal Bending Energy Skeleton Pixel Traversals

28 citations · 81 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Your Vision-Language-Action Model Already Has Attention Heads For Path Deviation Detection

Jaehwan Jeong, Evelyn Zhu, Jinying Lin +5

Vision-Language-Action (VLA) models have demonstrated strong potential for predicting semantic actions in navigation tasks, demonstrating the ability to reason over complex linguis…

cs.CV2024

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation

Arvind Murari Vepa, Zukang Yang, Andrew Choi +3

Deep learning has seen remarkable advancements in machine learning, yet it often demands extensive annotated data. Tasks like 3D semantic segmentation impose a substantial annotati…

cs.CV2023

Towards Viewpoint Robustness in Bird's Eye View Segmentation

Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen +6

Autonomous vehicles (AV) require that neural networks used for perception be robust to different viewpoints if they are to be deployed across many types of vehicles without the rep…

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.RO2022★ 12 cited

Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers

Andrew Choi, Mohammad Khalid Jawed, Jungseock Joo

As technology advances, the need for safe, efficient, and collaborative human-robot-teams has become increasingly important. One of the most fundamental collaborative tasks in any…