cdsousa / IROS2013-Feas-Ident-WAM7Links
Research notebook from the paper: Sousa, Cristóvão D. and Cortesão, Rui, "Physically feasible dynamic parameter identification of the 7-DOF WAM robot," Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on , pp.2868-2873, 3-7 Nov. 2013, Tokyo, Japan, doi: 10.1109/IROS.2013.6696762
☆13Updated 10 years ago
Alternatives and similar repositories for IROS2013-Feas-Ident-WAM7
Users that are interested in IROS2013-Feas-Ident-WAM7 are comparing it to the libraries listed below
Sorting:
- Set of exercises accompanying the ICRA 2019 Tutorial on Dynamical System based Learning from Demonstration: https://epfl-lasa.github.io/T…☆65Updated 5 years ago
- Experimental code and data associated with the paper: Cristóvão D. Sousa and Rui Cortesão, "Physical feasibility of robot base inertial …☆26Updated 9 years ago
- Code for implementing and experimenting with cooperative manipulation controllers. Includes a controller based on a novel extended relati…☆15Updated 6 years ago
- Dynamic model identification of the DVRK☆39Updated last year
- External torque observers for a robot manipulator☆37Updated last month
- Exercise 1 of the Robotics control course at University of Pisa☆25Updated 5 years ago
- Robot payload estimation, based on: C. G. Atkeson, C. H. An, and J. M. Hollerbach, “Estimation of Inertial Parameters of Manipulator Load…☆13Updated 3 years ago
- 基于零空间方法(NUB)的全身控制(WBC)的简单实现☆51Updated 5 years ago
- ☆53Updated 6 years ago
- impedance control for baxter robot, python☆22Updated 8 years ago
- ☆27Updated 3 years ago
- ☆44Updated 3 years ago
- ☆37Updated 6 years ago
- Package for bidirectional motion planning for mobile manipulation tasks involving geometric end-effector task constraints☆27Updated 7 years ago
- University group project concerning the comparison between the classical and the modified Denavit-Hartenberg convention in Newton-Euler a…☆11Updated 5 years ago
- Hybrid force/position control for the Kuka LWR4+ manipulator☆65Updated 5 years ago
- Contact point & surface normal estimation from force-torque measurements using adaptive control.