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Shamil Mamedov 6065d44dbd New trajectory is found. The difference from previous ones is the fact that now the condition number of the whole whole regressor (with frinction and motor dynamics) is taken into accound 2019-12-23 08:55:18 +03:00
URe the last version of the project 2019-12-18 14:25:45 +03:00
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trajectory_optmzn New trajectory is found. The difference from previous ones is the fact that now the condition number of the whole whole regressor (with frinction and motor dynamics) is taken into accound 2019-12-23 08:55:18 +03:00
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README.md first commit 2019-12-18 14:13:02 +03:00
baseQR.mat Objectve function as well as constraint fucntion for trajectory optimization slightly changed. Now the structure of the robot is not an input argument. Moreover, objective function can work with QR decomposition based base parameters. 2019-12-19 13:31:18 +03:00
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frictionRegressor.m New trajectory is found. The difference from previous ones is the fact that now the condition number of the whole whole regressor (with frinction and motor dynamics) is taken into accound 2019-12-23 08:55:18 +03:00
main_ur.m the last version of the project 2019-12-18 14:25:45 +03:00
regressorWithMotorDynamics.m Objectve function as well as constraint fucntion for trajectory optimization slightly changed. Now the structure of the robot is not an input argument. Moreover, objective function can work with QR decomposition based base parameters. 2019-12-19 13:31:18 +03:00
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ur_base_params_QRlgr.m Objectve function as well as constraint fucntion for trajectory optimization slightly changed. Now the structure of the robot is not an input argument. Moreover, objective function can work with QR decomposition based base parameters. 2019-12-19 13:31:18 +03:00
ur_base_params_QRscrw.m the last version of the project 2019-12-18 14:25:45 +03:00
ur_base_params_sym.m experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00
ur_exprmt_dsgn.m New trajectory is found. The difference from previous ones is the fact that now the condition number of the whole whole regressor (with frinction and motor dynamics) is taken into accound 2019-12-23 08:55:18 +03:00
ur_regressors_lgr.m experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00

README.md

dynamic_calibration