Identification of consistent standard dynamic parameters of industrial robots

By M. Gautier, Sébastien Briot, G. Venture. 2013

23 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering

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. Pieter Abbeel
2. Sergey Levine
3. Sachin Patil
4. Christopher Xie
5. Rui Pedro Duarte Cortesão
6. Cristóvão D. Sousa
7. Teodor Mihai Moldovan
8. Chelsea Finn

In Control and Systems Engineering

1. Sergey Levine
2. Pieter Abbeel
3. Chelsea Finn
4. Vikash Kumar
5. Abhishek Gupta
6. Jitendra Malik
7. Sachin Patil
8. Christopher Xie

In Mechanical Engineering

1. Pieter Abbeel
2. Sergey Levine
3. Sachin Patil
4. Christopher Xie
5. Rui Pedro Duarte Cortesão
6. Cristóvão D. Sousa
7. Teodor Mihai Moldovan

Citations in the corpus

• Model-based reinforcement learning with parametrized physical models and optimism-driven exploration (2015, methodology): “The physical feasibility of parameters during the identification process has also been considered [15], 2016 IEEE International Conference on Robotics and Automation (ICRA) Stockholm, Sweden, May 16-21, 2016”
• Physical feasibility of robot base inertial parameter identification: A linear matrix inequality approach (2014, methodology): “Gautier et al. (2013) proposed a method where the regression estimation is pushed towards an a priori known feasible solution obtained from CAD data.”