Robust motion/force control of uncertain holonomic/nonholonomic mechanical systems

By Z. Wang, Shuzhi Sam Ge, T. H. Lee. IEEE/ASME transactions on mechatronics, 2004

111 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/8269fe8fe1e1a541a35e3545c76a784150dcbff7

How researchers see this paper

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

In Biomedical Engineering

1. Shuzhi Sam Ge

In Computer Vision and Pattern Recognition

1. Her-Terng Yau
2. Takateru Urakubo

In Control and Systems Engineering

1. Yanan Li
2. Shuzhi Sam Ge
3. Wei He
4. Shaocheng Tong
5. Yong-ming Li
6. Mou Chen
7. Xu Jin
8. Yanjun Liu

Citations in the corpus

• Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints (2016, unknown): “The hybrid force/position control is also widely employed for the robotic systems with constraints [32]–[34].”
• Human–Robot Collaboration Based on Motion Intention Estimation (2014, background): “Property 1: [22] There exist unknown finite scalars θj > 0, j = 1, .”