activity
20182026
most citedGeneral Support-Effective Decomposition for Multi-Directional 3D Printing

9 citations · 23 across the 24 of their papers we have counts for

collaborators

27 papers

cs.GR2026

RealSimLoop: Online Real-to-Sim Adaptation via Differentiable Reduced-Order Simulation with Vision Feedback

Zhihao Cen, Chuhua Xian, Hailin Sun +6

Real-world observations of deformable objects are often sparse or surface-level, while downstream tasks require hidden physical quantities such as internal deformation, stress fiel…

cs.CV2026

Proximity3D: Shape from Capacitive Proximity on Sensing Manifold

Hao Chen, Chenming Wu, Chun Ping Lam +6

Most shape reconstruction methods assume measurements defined over planar sensing domains, such as RGB images or depth maps. In this paper, we use a curved capacitive textile as a…

cs.GR2026

WildFab: Multi-Axis 3D Printing from Models in the Wild

Jiasheng Qu, Zhikai Shen, Chenyu Xu +6

Multi-axis 3D printing enables support-free fabrication and improved part quality, but robustly processing real-world geometries remains challenging. Models from design workflows o…

cs.RO2026

Trajectory Optimization for Collision-Aware Redundant Robotic Multi-Axis Additive Manufacturing by Constrained Gradient Projection

Zhikai Shen, Jiasheng Qu, Chenyu Xu +4

Redundant robotic multi-axis additive manufacturing (MAAM) enables support-free and conformal fabrication, but trajectory optimization for long-horizon paths remains challenging un…

cs.RO2026

Reduced-order Neural Modeling with Differentiable Simulation for High-Detail Tactile Perception

Yuhu Guo, Zhikai Shen, Jiasheng Qu +4

Tactile perception is key to dexterous manipulation, yet simulating high-resolution elastomer deformation remains computationally prohibitive. Finite element methods (FEM) deliver…

cs.RO2026

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception

Zhen Zhang, Weinan Wang, Hejia Sun +4

Current dexterous manipulation systems commonly rely on external or wrist-mounted cameras for visual feedback. However, such sensing setups are prone to occlusion and can limit per…

cs.RO2026

Model-Free Co-Optimization of Manufacturable Sensor Layouts and Deformation Proprioception

Yingjun Tian, Guoxin Fang, Aoran Lyu +5

Flexible sensors are increasingly employed in soft robotics and wearable devices to provide proprioception of freeform deformations.Although supervised learning can train shape pre…

cs.RO2025

Towards Intuitive Human-Robot Interaction through Embodied Gesture-Driven Control with Woven Tactile Skins

ChunPing Lam, Xiangjia Chen, Chenming Wu +6

This paper presents a novel human-robot interaction (HRI) framework that enables intuitive gesture-driven control through a capacitance-based woven tactile skin. Unlike conventiona…

cs.RO2025

INF-3DP: Implicit Neural Fields for Collision-Free Multi-Axis 3D Printing

Jiasheng Qu, Zhuo Huang, Dezhao Guo +5

We introduce a general, scalable computational framework for multi-axis 3D printing based on implicit neural fields (INFs) that unifies all stages of toolpath generation and global…

cs.RO2025

Correspondence-Free, Function-Based Sim-to-Real Learning for Deformable Surface Control

Yingjun Tian, Guoxin Fang, Renbo Su +6

This paper presents a correspondence-free, function-based sim-to-real learning method for controlling deformable freeform surfaces. Unlike traditional sim-to-real transfer methods…

cs.GR2025

Curve-based slicer for multi-axis DLP 3D printing

Chengkai Dai, Tao Liu, Dezhao Guo +4

This paper introduces a novel curve-based slicing method for generating planar layers with dynamically varying orientations in digital light processing (DLP) 3D printing. Our appro…

cs.LG2024

Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization

Aoran Lyu, Shixian Zhao, Chuhua Xian +3

Reduced-order simulation is an emerging method for accelerating physical simulations with high DOFs, and recently developed neural-network-based methods with nonlinear subspaces ha…

physics.med-ph2024

Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures

Xingjian Han, Yu Jiang, Weiming Wang +9

Joint injuries, and their long-term consequences, present a substantial global health burden. Wearable prophylactic braces are an attractive potential solution to reduce the incide…

cs.RO2024★ 1 cited

Learning Based Toolpath Planner on Diverse Graphs for 3D Printing

Yuming Huang, Yuhu Guo, Renbo Su +9

This paper presents a learning based planner for computing optimized 3D printing toolpaths on prescribed graphs, the challenges of which include the varying graph structures on dif…

cs.RO2024

Function based sim-to-real learning for shape control of deformable free-form surfaces

Yingjun Tian, Guoxin Fang, Renbo Su +4

For the shape control of deformable free-form surfaces, simulation plays a crucial role in establishing the mapping between the actuation parameters and the deformed shapes. The di…

cs.CG2023★ 3 cited

Exceptional Mechanical Performance by Spatial Printing with Continuous Fiber: Curved Slicing, Toolpath Generation and Physical Verification

Guoxin Fang, Tianyu Zhang, Yuming Huang +3

This work explores a spatial printing method to fabricate continuous fiber-reinforced thermoplastic composites (CFRTPCs), which can achieve exceptional mechanical performance. For…

cs.RO2023★ 1 cited

Spring-IMU Fusion Based Proprioception for Feedback Control of Soft Manipulators

Yinan Meng, Guoxin Fang, Jiong Yang +2

This paper presents a novel framework to realize proprioception and closed-loop control for soft manipulators. Deformations with large elongation and large bending can be precisely…

cs.CG2023

Vector Field Based Volume Peeling for Multi-Axis Machining

Neelotpal Dutta, Tianyu Zhang, Guoxin Fang +2

This paper presents an easy-to-control volume peeling method for multi-axis machining based on the computation taken on vector fields. The current scalar field based methods are no…

cs.RO2023★ 2 cited

Support Generation for Robot-Assisted 3D Printing with Curved Layers

Tianyu Zhang, Yuming Huang, Piotr Kukulski +3

Robot-assisted 3D printing has drawn a lot of attention by its capability to fabricate curved layers that are optimized according to different objectives. However, the support gene…

cs.RO2022

OpenPneu: Compact platform for pneumatic actuation with multi-channels

Yingjun Tian, Renbo Su, Xilong Wang +3

This paper presents a compact system, OpenPneu, to support the pneumatic actuation for multi-chambers on soft robots. Micro-pumps are employed in the system to generate airflow and…

cs.RO2022

Soft Robotic Mannequin: Design and Algorithm for Deformation Control

Yingjun Tian, Guoxin Fang, Justas Petrulis +2

This paper presents a novel soft robotic system for a deformable mannequin that can be employed to physically realize the 3D geometry of different human bodies. The soft membrane o…

cs.RO2022

Collision-Aware Fast Simulation for Soft Robots by Optimization-Based Geometric Computing

Guoxin Fang, Yingjun Tian, Andrew Weightman +1

Soft robots can safely interact with environments because of their mechanical compliance. Self-collision is also employed in the modern design of soft robots to enhance their perfo…

cs.GR2021★ 5 cited

Field-Based Toolpath Generation for 3D Printing Continuous Fibre Reinforced Thermoplastic Composites

Xiangjia Chen, Guoxin Fang, Wei-Hsin Liao +1

We present a field-based method of toolpath generation for 3D printing continuous fibre reinforced thermoplastic composites. Our method employs the strong anisotropic material prop…

cs.RO2021★ 1 cited

Singularity-aware motion planning for multi-axis additive manufacturing

Tianyu Zhang, Xiangjia Chen, Guoxin Fang +2

Multi-axis additive manufacturing enables high flexibility of material deposition along dynamically varied directions. The Cartesian motion platforms of these machines include thre…