QP-based refined manipulability-maximizing scheme for coordinated motion planning and control of physically constrained wheeled mobile redundant manipulators

By Yunong Zhang, Xiaogang Yan, Dechao Chen, Dongsheng Guo, Weibing Li. Nonlinear dynamics, 2016

94 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/c882abab7797bbb901c44a5a18c7af0471ed1a4d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Long Jin
2. Hung Manh La
3. Xin Luo
4. Shuai Li

In Control and Systems Engineering

1. Long Jin
2. Hung Manh La
3. Xin Luo
4. Shuai Li

Citations in the corpus

• Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks (2017, methodology): “Besides, it is worth comparing here the manipulability optimization scheme (32) and the manipulability-maximizing scheme presented in [28], both of which are exploited to maximize the manipulability during the motion generation of redundant robot manipulators.”