9 citations · 23 across the 24 of their papers we have counts for
18 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots
Rob B. N. Scharff, Guoxin Fang, Yingjun Tian +3
Real-time proprioception is a challenging problem for soft robots, which have almost infinite degrees-of-freedom in body deformation. When multiple actuators are used, it becomes m…
Efficient Jacobian-Based Inverse Kinematics with Sim-to-Real Transfer of Soft Robots by Learning
Guoxin Fang, Yingjun Tian, Zhi-Xin Yang +2
This paper presents an efficient learning-based method to solve the inverse kinematic (IK) problem on soft robots with highly non-linear deformation. The major challenge of efficie…
General Support-Effective Decomposition for Multi-Directional 3D Printing
Chenming Wu, Chengkai Dai, Guoxin Fang +2
We present a method for fabricating general models with multi-directional 3D printing systems by printing different model regions along with different directions. The core of our m…