b'Yun-Hui Liu'

research

∙ 05/13/2023

Integrated Planning and Control of Robotic Surgical Instruments for Tasks Autonomy

Agile maneuvers are essential for robot-enabled complex tasks such as su...

0 Fangxun Zhong, et al. ∙

research

∙ 04/18/2023

Modal-Graph 3D Shape Servoing of Deformable Objects with Raw Point Clouds

Deformable object manipulation (DOM) with point clouds has great potenti...

0 Bohan Yang, et al. ∙

research

∙ 03/20/2023

Efficient Map Sparsification Based on 2D and 3D Discretized Grids

Localization in a pre-built map is a basic technique for robot autonomou...

0 Xiaoyu Zhang, et al. ∙

research

∙ 02/26/2023

Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning

Recent advancements toward perception and decision-making of flexible en...

0 Yiang Lu, et al. ∙

research

∙ 02/20/2023

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Task automation of surgical robot has the potentials to improve surgical...

0 Tao Huang, et al. ∙

research

∙ 12/03/2022

FBG-Based Variable-Length Estimation for Shape Sensing of Extensible Soft Robotic Manipulators

In this paper, we propose a novel variable-length estimation approach fo...

0 Yiang Lu, et al. ∙

research

∙ 11/27/2022

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

Estimating precise metric depth and scene reconstruction from monocular ...

0 Ruofeng Wei, et al. ∙

research

∙ 11/03/2022

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS

Most existing methods for category-level pose estimation rely on object ...

0 Kai Chen, et al. ∙

research

∙ 09/12/2022

Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots Using FBG Sensors in Unstructured Environments

In this paper, we present a novel and generic data-driven method to serv...

0 Yiang Lu, et al. ∙

research

∙ 07/25/2022

An Optimal Motion Planning Framework for Quadruped Jumping

This paper presents an optimal motion planning framework to generate ver...

0 Zhitao Song, et al. ∙

research

∙ 07/04/2022

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

Shape control of deformable objects is a challenging and important robot...

0 Bohan Yang, et al. ∙

research

∙ 04/14/2022

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking

In this paper, we propose an iterative self-training framework for sim-t...

4 Kai Chen, et al. ∙

research

∙ 04/07/2022

3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery

Automatic laparoscope motion control is fundamentally important for surg...

0 Bin Li, et al. ∙

research

∙ 03/05/2022

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking

Industrial bin picking is a challenging task that requires accurate and ...

9 Yidan Feng, et al. ∙

research

∙ 09/20/2021

Tele-Operated Oropharyngeal Swab (TOOS) RobotEnabled by TSS Soft Hand for Safe and EffectiveCOVID-19 OP Sampling

The COVID-19 pandemic has imposed serious challenges in multiple perspec...

0 Wei Chen, et al. ∙

research

∙ 09/10/2021

PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks

In this work, we study the problem of how to leverage instructional vide...

0 Jiankai Sun, et al. ∙

research

∙ 08/30/2021

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

Autonomous surgical execution relieves tedious routines and surgeon's fa...

15 Jiaqi Xu, et al. ∙

research

∙ 03/24/2021

One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video

Surgical instrument segmentation in robot-assisted surgery (RAS) - espec...

1 Zixu Zhao, et al. ∙

research

∙ 11/23/2020

Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception

Laparoscopic Field of View (FOV) control is one of the most fundamental ...

0 Bin Li, et al. ∙

research

∙ 11/03/2020

Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery

Automatic surgical gesture recognition is fundamentally important to ena...

12 Yong-Hao Long, et al. ∙

research

∙ 08/31/2020

Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics

This paper proposes a novel pretext task to address the self-supervised ...

10 Jiangliu Wang, et al. ∙

research

∙ 08/13/2020

Self-supervised Video Representation Learning by Pace Prediction

This paper addresses the problem of self-supervised video representation...

0 Jiangliu Wang, et al. ∙

research

∙ 07/02/2020

A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises

Surgical knot tying is one of the most fundamental and important procedu...

0 Bo Lu, et al. ∙

research

∙ 05/05/2020

A Versatile Data-Driven Framework for Model-Independent Control of Continuum Manipulators Interacting With Obstructed Environments With Unknown Geometry and Stiffness

This paper addresses the problem of controlling a continuum manipulator ...

0 Farshid Alambeigi, et al. ∙

research

∙ 11/12/2019

HMTNet:3D Hand Pose Estimation from Single Depth Image Based on Hand Morphological Topology

Thanks to the rapid development of CNNs and depth sensors, great progres...

0 Weiguo Zhou, et al. ∙

research

∙ 09/23/2019

Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data

In the industrial domain, the pose estimation of multiple texture-less s...

0 Chen Chen, et al. ∙

research

∙ 04/30/2019

Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles

Self-driving industry vehicle plays a key role in the industry automatio...

0 Zhe Liu, et al. ∙

research

∙ 04/02/2019

Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications

In this paper, we focus on the problem of task allocation, cooperative p...

0 Zhe Liu, et al. ∙

research

∙ 03/08/2019

Development of an Autonomous Sanding Robot with Structured-Light Technology

Large demand for robotics and automation has been reflected in the sandi...

0 Yingxin Huo, et al. ∙

research

∙ 12/11/2018

3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition

In this paper, we develop a new deep neural network which can extract di...

0 Zhe Liu, et al. ∙

Yun-Hui Liu

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