79 citations · 103 across the 9 of their papers we have counts for
9 papers
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…
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…
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution
Chuhua Xian, Kun Qian, Zitian Zhang +1
Limited by the cost and technology, the resolution of depth map collected by depth camera is often lower than that of its associated RGB camera. Although there have been many resea…
Learning to Accelerate Decomposition for Multi-Directional 3D Printing
Chenming Wu, Yong-Jin Liu, Charlie C. L. Wang
Multi-directional 3D printing has the capability of decreasing or eliminating the need for support structures. Recent work proposed a beam-guided search algorithm to find an optimi…
Concise and Effective Network for 3D Human Modeling from Orthogonal Silhouettes
Bin Liu, Xiuping Liu, Zhixin Yang +1
In this paper, we revisit the problem of 3D human modeling from two orthogonal silhouettes of individuals (i.e., front and side views). Different from our prior work, a supervised…
Planning Jerk-Optimized Trajectory with Discrete-Time Constraints for Redundant Robots
Chengkai Dai, Sylvain Lefebvre, Kai-Ming Yu +2
We present a method for effectively planning the motion trajectory of robots in manufacturing tasks, the tool-paths of which are usually complex and have a large number of discrete…