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Yili Fu

14 accepted papers

2025

ULRVT II: A Novel Upper Limb Rehabilitation Robot with Joint Synergy Control and Evaluation for Virtual Training*

IROS 2025

Global population aging has led to a sharp increase in patients of upper limb motor dysfunction. Robot assisted virtual training, as a novel solution, can offer safe and precise assistance for upper limb rehabilitation. However, it remains a critical challenge to compensate virtual interaction force

Cited by 0SourceScholar
2025

sEMG-Based Continues Motion Prediction of Shoulder exoskeleton Control Using the VGANet Model

IROS 2025

Wearable exoskeleton robots play a crucial role in promoting upper limb function recovery. To enhance human-robot interaction and achieve precise control, continuous prediction of limb joint angles is required. This paper proposes a decoupled network model (VGANet) based on Variable Graph Convolutio

Cited by 0SourceScholar
2023

ACAM-FoC: A Deep Neural Network Augmented From CAM-FoC to Measure the Grip Force of Mass-Produced Elongated Surgical Instruments

RA-L 2023

Learning-based grip force measurement methods in robot-assisted minimally invasive surgery (RAMIS) outperforms the traditional model-based methods and avoids the application issues of sensor-based approaches. However, few studies have investigated the problem of grip force measurement in mass-produc

Cited by 3SourceScholar
2022

Learning Monocular Mesh Recovery of Multiple Body Parts Via Synthesis

ICASSP 2022accepted

In this paper, we focus on simultaneously recovering the 3D mesh of multiple body parts from a single RGB image. One of the main challenges is that available datasets with full-body 3D annotations are very limited. This results in poor generalization ability of existing learning-based methods. Exist…

Cited by 0SourceScholar
2022

Learning Target-Oriented Push-Grasping Synergy in Clutter With Action Space Decoupling

RA-L 2022

We explore a method for grasping novel target objects through push-grasping synergy in a cluttered environment without using object detection and segmentation algorithms. The target information is represented by a color heightmap of the target object. The agent needs to implicitly find the correspon

Cited by 17SourceScholar
2022

Putting People in Their Place: Monocular Regression of 3D People in Depth

CVPR 2022poster

Given an image with multiple people, our goal is to directly regress the pose and shape of all the people as well as their relative depth. Inferring the depth of a person in an image, however, is fundamentally ambiguous without knowing their height. This is particularly problematic when the scene co…

Cited by 180PDFcodeScholar
2021

Configuration Transformation of the Wheel-Legged Robot Using Inverse Dynamics Control

ICRA 2021poster

In this paper, the configuration transformation of Wheel-Legged Robot (WLR) is studied, which can enable the robot to change its multilinks configuration on Inverted Equilibrium Manifold (IEM), while keeping balance with a small location drift on the floor. First of all, the general form of dynamics…

Cited by 13SourceScholar
2021

Kinematic analysis of a flexible surgical instrument for robot-assisted minimally invasive surgery

ICRA 2021poster

Flexible surgical instruments can flexibly adjust their posture with a high degree of freedom, which makes them highly suitable for performing surgical tasks in narrow workspaces. However, redundant degrees of freedom increase their kinematic difficulty, which may cause redundant solutions, complex…

Cited by 1SourceScholar
2021

Lightweight Deep Neural Network for Real-Time Instrument Semantic Segmentation in Robot Assisted Minimally Invasive Surgery

RA-L 2021

Vision-based detection and tracking of surgical instrument is attractive because it relies purely on existing setup already in the operating scenario for Robot assisted minimally invasive surgery (RMIS). While significant advanced approaches have been made in recent years, how to effectively carry o

Cited by 38SourceScholar
2021

Monocular, One-Stage, Regression of Multiple 3D People

ICCV 2021poster

This paper focuses on the regression of multiple 3D people from a single RGB image. Existing approaches predominantly follow a multi-stage pipeline that first detects people in bounding boxes and then independently regresses their 3D body meshes. In contrast, we propose to Regress all meshes in a On…

Cited by 327PDFcodeScholar
2019

Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation

ICCV 2019poster

We describe an end-to-end method for recovering 3D human body mesh from single images and monocular videos. Different from the existing methods try to obtain all the complex 3D pose, shape, and camera parameters from one coupling feature, we propose a skeleton-disentangling based framework, which di…

Cited by 214PDFcodeScholar
2018

Design and Experiments of a Novel Hydraulic Wheel-Legged Robot (WLR)

IROS 2018poster

Wheel-legged hybrid robot with multi-modal locomotion can efficiently adapt to different terrain environments, as well as realize rapid maneuver on flat ground. We have developed a novel hydraulic wheel-legged robot (WLR) combined with a humanoid structural design. This robot can assist to emergency…

Cited by 89SourceScholar
2015

A human-robot interaction modeling approach for hand rehabilitation exoskeleton using biomechanical technique

IROS 2015poster

Aiming at the physical coupling feature between the finger and the hand exoskeleton, a human-robot interaction modeling approach is proposed. The muscle motion formulas are established based on the finger physiological structure and Hill model. The equilibrium equations between exoskeleton and finge…

Cited by 13SourceScholar