6 papers
Efficient Trajectory Optimization for Robot Motion Planning
Yu Zhao, Hsien-Chung Lin, Masayoshi Tomizuka
Motion planning for multi-jointed robots is challenging. Due to the inherent complexity of the problem, most existing works decompose motion planning as easier subproblems. However…
SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots
Changliu Liu, Te Tang, Hsien-Chung Lin +2
Human-robot collaborations have been recognized as an essential component for future factories. It remains challenging to properly design the behavior of those co-robots. Those rob…
A Learning Framework for Robust Bin Picking by Customized Grippers
Yongxiang Fan, Hsien-Chung Lin, Te Tang +1
Customized grippers have specifically designed fingers to increase the contact area with the workpieces and improve the grasp robustness. However, grasp planning for customized gri…
Real-Time Grasp Planning for Multi-Fingered Hands by Finger Splitting
Yongxiang Fan, Te Tang, Hsien-Chung Lin +1
Grasp planning for multi-fingered hands is computationally expensive due to the joint-contact coupling, surface nonlinearities and high dimensionality, thus is generally not afford…
Grasp Planning for Customized Grippers by Iterative Surface Fitting
Yongxiang Fan, Hsien-Chung Lin, Te Tang +1
Customized grippers have broad applications in industrial assembly lines. Compared with general parallel grippers, the customized grippers have specifically designed fingers to inc…
Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties
Yongxiang Fan, Te Tang, Hsien-Chung Lin +2
Dexterous manipulation has broad applications in assembly lines, warehouses and agriculture. To perform large-scale manipulation tasks for various objects, a multi-fingered robotic…