activity
20202023
most citedModal-graph 3D shape servoing of deformable objects with raw point clouds

8 citations · 23 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2023

Integrated Planning and Control of Robotic Surgical Instruments for Tasks Autonomy

Fangxun Zhong, Yun-Hui Liu

Agile maneuvers are essential for robot-enabled complex tasks such as surgical procedures. Prior explorations on surgery autonomy are limited to feasibility study of completing a s…

cs.RO2023★ 8 cited

Modal-graph 3D shape servoing of deformable objects with raw point clouds

Bohan Yang, Congying Sui, Fangxun Zhong +1

Deformable object manipulation (DOM) with point clouds has great potential as non-rigid 3D shapes can be measured without detecting and tracking image features. However, robotic sh…

cs.RO2022

Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction

Ruofeng Wei, Bin Li, Hangjie Mo +5

Estimating precise metric depth and scene reconstruction from monocular endoscopy is a fundamental task for surgical navigation in robotic surgery. However, traditional stereo matc…

cs.CV2022★ 1 cited

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy

Ziyi Wang, Bo Lu, Yonghao Long +4

Computer-assisted minimally invasive surgery has great potential in benefiting modern operating theatres. The video data streamed from the endoscope provides rich information to su…

cs.RO2022

Model-Free 3D Shape Control of Deformable Objects Using Novel Features Based on Modal Analysis

Bohan Yang, Bo Lu, Wei Chen +2

Shape control of deformable objects is a challenging and important robotic problem. This paper proposes a model-free controller using novel 3D global deformation features based on…

cs.CV2022

A Visual Navigation Perspective for Category-Level Object Pose Estimation

Jiaxin Guo, Fangxun Zhong, Rong Xiong +3

This paper studies category-level object pose estimation based on a single monocular image. Recent advances in pose-aware generative models have paved the way for addressing this c…