13 citations · 15 across the 10 of their papers we have counts for
11 papers
FrameTwin: Curve-Anchored Gaussian Alignment from Sparse Views for Adaptive Wireframe 3D Printing
Wenting Wang, Zhuo Huang, Kun Qian +5
We present FrameTwin, a curve-anchored Gaussian alignment framework that uses sparse-view images to close the control loop for adaptive wireframe 3D printing. Our key idea is to ca…
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…
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…
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…
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…
Optimizing out-of-plane stiffness for soft grippers
Renbo Su, Yingjun Tian, Mingwei Du +1
In this paper, we presented a data-driven framework to optimize the out-of-plane stiffness for soft grippers to achieve mechanical properties as hard-to-twist and easy-to-bend. The…
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…