Qingwei Lau

thanks, will try it out and let you know if got any result ^-^

Hi @anassinator, I have defined my system and tried the PathQRCost class, the cost function works all right but it's stuck on `xs, us = ilqr.fit(x0, us_init, on_iteration=on_iteration)` Cause the...

Hi @anassinator yeah, sorry about forgetting z should not be anyplace near 0. thanks a lot. I will add practical constraints and desired path. thanks again and it helps a...

Dear @anassinator, Sorry for holding so long for implementing your helpful algorithm, been doing another project. The thing is, I have deployed my real targeting trajectory for both x_input and...

Dear @anassinator , it does help. I have updated the constraint, and it is working. And it also converge, but just not the way I am looking forward to, xs...

Dear @anassinator, I mean, the first row of x_input, which is [10,5,8,0,0,0] in my case. While actually I expect xs to rack the entire trajectory of x_input. Thanks a lot....

So maybe I should change my constraints or something. I have change the constraints for u and the fitted xs is the same. Actually I think it may try to...

I have noticed that in the definition of PathQRCost, when calculating x_diff and u_diff, only the i_th elements is considered, will the i loop from zero to N-1 and take...

Yes, it works, roughly. I will check the constraints and initial state for x0 and us_init thoroughly and let you know if got any progress. Thanks for being so helpful....

Dear @anassinator, in fact trajectory optimization with both desired x_path and u_path does not need constraints, lol. I mean, if it converge close enough to the desired trajectory, both xs...