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I'd use it more if there were a high-level trajectory estimation with irregular sensor timings, akin to the OCP one.
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The feature that makes a new pose trajectory graph every time the algorithm loses track. Can this feature be disabled somehow? so that it continues to stitch the upcoming estimation after it lost trac…
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This morning I ran into a problem using opty for a simulation (Example 10.59 from Betts' book)
With the help from @tjstienstra I found the problem was that I used sympy.pi in the equations of motion.…
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hi, I used "MMAUD V1 Rooftop Simple" from "https://github.com/ntu-aris/MMAUD", and tried to follow your trajectory estimation part. **May I know how you deal with the V1 datasets into train and val s…
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Hi there,
Thanks for your excellent code. I am running your code using my own Mujoco model to do peg hole insertion with algorithm_traj_opt only, (No neural net yet). It seems the first 15 iterati…
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**Problem Description**
Add a Lissajous reference trajectory so that the we can excite all axis of the vehicle for control inputs
 successfully. But when I use the output data and the groun…
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However, the output file with …